Search
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If the sheer amount of information that we can tap into using the internet has made the world our oyster, then the huge success of Google is a testament to how lucrative search can be in helping to light the way through that data maze.
Now, in a sign of the times, a startup called Lucidworks, which has built an AI-based engine to help individual organizations provide personalised search services for their own users, has raised $100 million in funding. Lucidworks believes its approach can produce better and more relevant results than other search services in the market, and it plans to use the funding for its next stage of growth to become, in the words of CEO Will Hayes, “the world’s next important platform.”
The funding is coming from PE firm Francisco Partners and TPG Sixth Street Partners. Existing investors in the company include Top Tier Capital Partners, Shasta Ventures, Granite Ventures and Allegis Cyber.
Lucidworks has raised around $200 million in funding to date, and while it is not disclosing the valuation, the company says it has been doubling revenues each year for the last three and counts companies like Reddit, Red Hat, REI and the U.S. Census among some 400 others of its customers using its flagship product, Fusion. PitchBook notes that its last round in 2018 was at a modest $135 million, and my guess is that is up by quite some way.
The idea of building a business on search, of course, is not at all new, and Lucidworks works is in a very crowded field. The likes of Amazon, Google and Microsoft have built entire empires on search — in Google’s and Microsoft’s case, by selling ads against those search results; in Amazon’s case, by generating sales of items in the search results — and they have subsequently productised that technology, selling it as a service to others.
Alongside that are companies that have been building search-as-a-service from the ground up — like Elastic, Sumo Logic and Splunk (whose founding team, coincidentally, went on to found Lucidworks…) — both for back-office processes as well as for services that are customer-facing.
In an interview, Hayes said that what sets Lucidworks apart is how it uses machine learning and other AI processes to personalise those results after “sorting through mountains of data,” to provide enterprise information to knowledge workers, shopping results on an e-commerce site to consumers, data to wealth managers or whatever it is that is being sought.
Take the case of a shopping experience, he said by way of explanation. “If I’m on REI to buy hiking shoes, I don’t just want to see the highest-rated hiking shoes, or the most expensive,” he said.
The idea is that Lucidworks builds algorithms that bring in other data sources — your past shopping patterns, your location, what kind of walking you might be doing, what other people like you have purchased — to produce a more focused list of products that you are more likely to buy.
“Amazon has no taste,” he concluded, a little playfully.
Today, around half of Lucidworks’ business comes from digital commerce and digital content — searches of the kind described above for products, or monitoring customer search queries sites like Red Hat or Reddit — and half comes from knowledge worker applications inside organizations.
The plan will be to continue that proportion, while also adding other kinds of features — more natural language processing and more semantic search features — to expand the kinds of queries that can be made, and also cues that Fusion can use to produce results.
Interestingly, Hayes said that while it’s come up a number of times, Lucidworks doesn’t see itself ever going head-to-head with a company like Google or Amazon in providing a first-party search platform of its own. Indeed, that may be an area that has, for the time being at least, already been played out. Or it may be that we have turned to a time when walled gardens — or at least more targeted and curated experiences — are coming into their own.
“We still see a lot of runway in this market,” said Jonathan Murphy of Francisco Partners. “We were very attracted to the idea of next-generation search, on one hand serving internet users facing the pain of the broader internet, and on the other enterprises as an enterprise software product.”
Lucidworks, it seems, has also entertained acquisition approaches, although Hayes declined to get specific about that. The longer-term goal, he said, “is to build something special that will stay here for a long time. The likelihood of needing that to be a public company is very high, but we will do what we think is best for the company and investors in the long run. But our focus and intention is to continue growing.”
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At the end of 2018, Google said mobile-first indexing — that is, using a website’s mobile version to index its pages — was being used for more than half the web pages in Google search results. Today, Google announced that mobile-first indexing will now be the default for all new web domains as of July 1, 2019.
That means that when a new website is registered it will be crawled by Google’s smartphone Googlebot, and its mobile-friendly content will be used to index its pages, as well as to understand the site’s structured data and to show snippets from the site in Google’s search results, when relevant.
The mobile-first indexing initiative has come a long way since Google first announced its plans back in 2016. In December 2017, Google began to roll out mobile-first indexing to a small handful of sites, but didn’t specify which ones were in this early test group. Last March, mobile-indexing began to roll out on a broader scale. By year-end, half the pages on the web were indexed by Google’s smartphone Googlebot.
Google explained the change to how sites are indexed is aimed at helping the company’s “primarily mobile” users to better search the web. Since 2015, the majority of Google users start their searches from mobile devices. It only makes sense, then, that the mobile versions of the website — and not the desktop pages — would be used to deliver the search results.
Mobile-first indexing isn’t the only way that Google has begun catering to the larger mobile majority.
Several years ago, it also began to boost the rank of mobile-friendly webpages in search. Last year, it added a signal that uses page speed to help determine a page’s mobile search ranking. Starting in July 2018, slow-loading content became downranked.
While many sites today now show the same content to users across desktop and mobile, those that have not yet achieved this parity have a variety of resources to help them get started. Site owners can check for mobile-first indexing of their website by using the URL Inspection Tool in the search console to see when the site was last crawled and indexed. Google also offers a host of documentation on how to make websites work for mobile-first indexing, and suggests that websites support responsive web design — not separate mobile URLs.
“We’re happy to see how the web has evolved from being focused on desktop, to becoming mobile-friendly, and now to being mostly crawlable and indexable with mobile user-agents,” said Google, in its announcement today.
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In 2019, it’s estimated that every minute there are 150 new websites coming online. While many of these won’t be long-term ventures, a large percentage will eventually find themselves looking to organic search engine traffic to grow their reach.
This invariably leads people to the task of keyword research; uncovering the search terms most likely to result in prospective customers.
With increased competition it’s imperative you don’t just focus on the traditional sources of keyword inspiration that every other business uses.
In the past year alone I’ve personally helped hundreds of business owners grow search engine traffic to their websites. This responsibility drives me to succeed in one key area: Finding relevant search terms to target that their competitors have likely missed.
In this article, I will highlight some of the most overlooked ideas and sources of data to reveal words and phrases relevant to your business that are high in intent but lacking in competition.
If you can find the keywords your audience are searching for, but your competitors haven’t found, you can leverage a huge advantage to increase traffic and engagement on your content.
Google is constantly improving their ability to understand searcher intent. That is, they know what people are looking for and the results that will satisfy those searches.
When it comes to any industry that offers products or services, one of the most common search queries is often some variation of “best [industry] [services / products]”.
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Google announced today it’s now using mobile-first indexing for over half the web pages shown in its search results globally — a significant milestone in Google’s move to favor mobile sites over desktop sites in its search results.
The plans for the project have been in the works for years.
The company had first detailed its efforts around mobile-first indexing back in 2016, where it explained the impacts to how its search index operates. It said it would shift over to using the mobile version of a website’s content to index its pages, as well as to understand its structured data and show snippets from the site in Google’s search results.
Its reasoning behind the change is simple: Most people today search Google from a mobile device, not a desktop computer. But Google’s ranking systems for the web were originally built for the desktop era. They still typically look at the desktop version of the page’s content to determine its relevance to the user.
This, obviously, causes problems when the desktop site and the mobile site are not in sync.
Before responsive web design became more commonplace, many site owners built a separate, simpler and sometimes less informative version of their site for their mobile web visitors. These users may have been guided to the site because of Google Search. But once there, they couldn’t find what they were looking for because it was only available on the desktop version of the web page.
In December 2017, Google said it had begun to transition a small handful of sites to mobile-first indexing.
Earlier this year, Google announced it had begun to officially roll out its “mobile-first” indexing of the web, following a year and a half of testing and experimentation. At the time, it said it would first move over the sites already following the best practices for mobile-first indexing. It also noted it would favor the site’s own mobile version of its webpage over Google’s fast-loading AMP pages.
Sites that are shifted are notified through a message in Search Console and then see increased visits from the smartphone version of Googlebot, which crawls the mobile version of their site. Site owners can also check their server logs, where they can track the increased requests from Googlebot Smartphone.
Google additionally offers a URL inspection tool, which site owners can use to check how a URL from their site — like the homepage — was last crawled and indexed.
Google today notes that sites that don’t use responsive web design are seeing two common problems when Google tries to move them over to mobile-first indexing.
Some don’t use structured data on their mobile sites, even though they use it on the desktop. This is important because it helps Google understand the website’s content and allows it to highlight pages’ content in its search results, through its “fancier” features like rich results, Knowledge Graph results, enhanced search results, carousels and more — basically any time you see more engaging search results that offer more than just a list of blue links.
The company also said that some mobile sites were missing alt-text for images, which makes it harder for Google to understand the images’ content.
At the time of the initial wave of sites being shifted over, Google had said that the mobile-friendly index wouldn’t directly impact how content is ranked, but it did say that a site’s mobile-friendly content will help it “perform better” in mobile search results. Mobile-friendliness has also long been one of many factors in determining how a site is ranked, but it’s not the only one.
Google didn’t say what it will do to sites that are never properly updated for the mobile web, but it seems that — at some point — their ranking could be impacted.
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Mobile licensing changes made by Google this fall, when it tweaked terms for OEMs wanting to license its Android smartphone platform on devices destined for the European market, don’t appear to be offering succour to search rivals — despite being triggered by an antitrust ruling intended to reset the competitive playing field.
The European Commission found the search giant guilty of anti-competitive practices related to its Android platform this summer, slapping the company with a $5BN fine. The decision required Google cease practices judged to be illegally skewing the market and do so within 90 days.
It was the second such major EC antitrust finding against Google, after last year’s Google Shopping ruling, when the company was warned that having been found dominant in search it had a “special responsibility” to avoid breaching antitrust rules in any market it plays in.
Google disputes the Commission’s findings of competitive abuse in both cases, and has lodged legal appeals.
But the nature of competition law demands action in the meanwhile, given the threat of punitive penalties for any continued breach. So in October Google responded to the Commission’s Android ruling by updating its regional compatibility agreement to provide a route for OEMs to unbundle key services from the Android OS — rather than requiring its suite of Google apps be pre-loaded for devices to get the Play Store.
However it also incorporated licensing fees for some unbundled configurations (e.g. Android + Play Store). At the same time it said it would not charge any fee to include search or Chrome. And it said it was offering incentives for OEMs to place its eponymous, market dominating search engine (and/or browser) prominently on their devices — despite one of the behaviors the Commission judged illegal being payments Google had made to certain large manufacturers and mobile carriers to exclusively pre-install Google Search.
The Commission did not prescribe specific remedies for the anticompetitive behaviours it pegged to Android — saying it’s “Google’s sole responsibility to make sure that it changes its conduct in a way that brings the infringements to an effective end”.
Though it warned it would closely monitor the company’s conduct, noting that any finding of continued non-compliance would risk fresh fines — of up to 5% of the average daily turnover of Alphabet for each day of non-compliance.
The key word there is “effective” — in terms of what the Commission is watching for.
Meanwhile Google’s dominant position in search naturally makes it the smartphone consumer’s go-to choice — which in turn means there’s a natural incentive for device makers not to ditch Google as the search default. At least for mainstream devices.
But Google’s new European licensing terms for Android appear to be piling additional pressure on OEMs not to switch even for more experimental and/or regional device launches, according to privacy-focused search engine Qwant.
The suggestion is Google’s licensing changes have essentially blocked the launch of an Android device with Qwant search rather than Google as the default.
Its experience suggests Google’s initial ‘remedy’ — far from delivering an “effective end” to the competitive infringements the Commission found — is actively steering OEMs away from search alternatives and rival companies.
Qwant, a French startup, launched its non-tracking search offering back in 2013, and has been on a growth tear on its home turf in recent months — winning over high profile users in the public sector as concern has risen about Silicon Valley’s intrusive grip on user data.
The French National Assembly and the French Ministry of the Armed Forces Minister announced this fall they’d switch to Qwant instead of Google as their default.
Of course the startup is still a minnow compared to Google. But it’s growing: Qwant tracks queries rather than users (given it doesn’t track people), and it says it generated 2.6BN queries in 2016; which grew to 9BN last year; and is now on track to end this year with around 18BN queries.
“So if we think about it that means that last year we were three days of Google; this year six days of Google — not so bad!” says co-founder Eric Leandri.
“In France we have now more than 6% of the market,” he continues. “In Germany something like 2%. And we are still growing. We do growth of 20% by month for the last four months. The growth in our revenue is two digit too, by month.”
Earlier this year it had been hoping to make additional regional marketshare gains by securing a deal to be pre-loaded on Android smartphones destined for European markets. A spokesman tells us it has a framework agreement with Huawei. (The Chinese Android OEM is second only to Samsung in global marketshare terms, according to analysts.)
The Commission’s antitrust ruling opened the door to this possibility, given it banned Google from prohibiting OEMs from launching non-Google approved Android forks. So after the ruling things were looking good for Qwant, with the startup on the cusp of securing a device deal for a few European countries, as Leandri tells it.
He blames Google’s licensing changes for putting the kibosh on a launch they’d been expecting to be able to announce in November. Early that month the startup pinged us to trail forthcoming news — of “a major partnership that will allow us to accelerate in the smartphone market” — only to go silent.
A few weeks later it got in touch again to say it had had to postpone the announcement.
“We are very near to one or two deals to be by default or in the list of search engines in some Android cell phone made by a very large Asian manufacturer… Just for Europe, and just for some countries in Europe but we are talking about 10 million or 20 million of cell phones,” says Leandri now.
“And when we have won the bid against Google in October then Google start to say that in Europe you have to pay $40 for Android. So now if you install Qwant you have to pay $40 and if you install Google they give you some cash.”
“Before it was impossible to bid against Google because Google was blocking everything. Now you can — but now the solution of Google is you have to pay $40 if you don’t install Google by default with Chrome just on the bar. You know the bar that is fixed on Android. And this is again an abuse of their dominant position,” he adds.
“Because if I want, for example, 10 million smartphones, the guy has to pay $400M to Google. Do you really think they will pay $400M to Google just to install Qwant?”
Google’s rebuttal of the Commission’s antitrust finding for Android has focused on claims that its approach of free licensing combined with a bundle of Google services has generally enabled competition to thrive in the mobile app ecosystem, as well as claiming lower prices are a “classic hallmark… of robust competition”.
Yet Qwant’s experience offers a clear counterpoint, underlining how challenging it remains to try to compete with Google’s core search business when the same company also dominates the smartphone market and can just throw the levers of Android’s licensing terms to configure how much ‘appetite’ OEMs have for investing in alternative search defaults (given tiny hardware profit margins in the Android space).
After Qwant won over Huawei to building a device with its search engine in prime position, Leandri says it was Google’s changes to the licensing terms for Android that threw a spanner in the works.
“After that pressure then the manufacturer doesn’t know how to react now,” he says, confirming he believes there’s currently no chance for the device to be launched. Not without further changes to how Android operates in the market — i.e. further regulatory intervention.
“So we will work a lot with the European Commission to stop that,” he adds. “But again, again my question is why Google goes that way?”
We reached out to Google to ask about the fees it would charge an OEM wanting to launch an Android device with Google Play but without Google search as the default in Europe.
We also asked how charging a fee for Android if OEMs don’t also bundle Google services can help increase competition, per the Commission’s intention.
At the time of writing Google had not responded to our questions.
We also reached out to Huawei for comment and will update this story with any response.
Even if Qwant and Huawei get their way, and European buyers in a handful of countries are able to choose to buy an Android device with a little search localization as its differentiating out-of-the-box twist, Leandri isn’t under any illusions that a majority of consumers will still switch back to Google of their own accord — given its dominance of search.
He reckons those who’d stick with a non-Google search choice might be as low as a third or 40%.
But his point is that, as it stands, Qwant doesn’t even have the chance to try competing against the Google Goliath on its own terms. And he argues that’s simply not fair.
“Google has billions to make advertisement to ask people to switch, right. And they can even do advertisement on the Play Store for zero because they control the Play Store. Why they don’t come back to a normal market where we are all on the same line and they just compete with advertisement, with pushing their products, with a better proposition of value. It’s crazy, it’s crazy!” he says.
“They have 95% of the market, and on that market they expect that if they don’t have the search by default there then they don’t do money with the Play Store. This is bullshit. They do billions of euros with the app on the Play Store each year. With the 30% that they take on the apps. So this is not true. This is not true, sorry.
“So right now this is our goal and my main work actually is just to obtain the right to have a fair competition — a simple, fair competition.”
“I don’t want to dismantle Google. I don’t want Google to be fined 10BN. I don’t care. The only thing I want is to have the right to have a fair competition,” he adds.
We asked the European Commission to respond to Qwant’s experience, and for an update on its monitoring of Google’s compliance with the Android antitrust ruling.
A spokeswoman declined to comment on an individual case but we understand the Commission has been sending questionnaires to market players as part of its compliance monitoring.
It’s clear the regulator’s intention with the Android decision was to expand consumer choice by creating opportunities for competition that didn’t exist before — including for rival search and browser providers to be able to compete on the merits with Google when it comes to pre-loading their products on Android devices.
So if the Commission’s monitoring efforts confirm instances where competition is being blocked, as appears the case here with Qwant, further interventions will surely follow.
Leandri also points out that Google made much the same arguments vis-a-vis ‘fair competition’ more than a decade ago — when it called for the then computing incumbent, Microsoft, not to stand in the way of Internet upstarts by bundling MSN search into its Internet Explorer web browser.
“The market favors open choice for search, and companies should compete for users based on the quality of their search services,” said Marissa Mayer in 2006, then Google’s vice president for search products. “We don’t think it’s right for Microsoft to just set the default to MSN. We believe users should choose.”
“I totally agree with what they say in 2006! Just exchange Microsoft for Google and that’s it!” he says now, adding: “We have to fight because there is not a lot of other way. But I stop fighting tomorrow as soon as I have a fair competition.
“I’m not waiting for the Commission to make the competition. Right now the percentage of growth that I have in France it’s not based on the Commission who has won or not. It’s based on our value proposition.”
Leandri is also president of the Open Internet Project, a European organization whose members lobby for regulatory action to rein in what they view as Google’s abusive dominance of digital markets, and which was also involved in the Google Shopping complaints — though he points out that in the Android case three of the five complainants are American.
“We are the only European. So the problem is not only for a small startup in Europe. Who, y’know, complained because ‘Google is so cool’. And we are so dumb. And so ridiculous. But the problem is for Oracle, it’s for the Fair Search. It’s not for kids.”
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Over the last several months, Dropbox has been undertaking an overhaul of its internal search engine for the first time since 2015. Today, the company announced that the new version, dubbed Nautilus, is ready for the world. The latest search tool takes advantage of a new architecture powered by machine learning to help pinpoint the exact piece of content a user is looking for.
While an individual user may have a much smaller body of documents to search across than the World Wide Web, the paradox of enterprise search says that the fewer documents you have, the harder it is to locate the correct one. Yet Dropbox faces of a host of additional challenges when it comes to search. It has more than 500 million users and hundreds of billions of documents, making finding the correct piece for a particular user even more difficult. The company had to take all of this into consideration when it was rebuilding its internal search engine.
One way for the search team to attack a problem of this scale was to put machine learning to bear on it, but it required more than an underlying level of intelligence to make this work. It also required completely rethinking the entire search tool from an architectural level.
That meant separating two main pieces of the system, indexing and serving. The indexing piece is crucial of course in any search engine. A system of this size and scope needs a fast indexing engine to cover the number of documents in a whirl of changing content. This is the piece that’s hidden behind the scenes. The serving side of the equation is what end users see when they query the search engine, and the system generates a set of results.
Nautilus Architecture Diagram: Dropbox
Dropbox described the indexing system in a blog post announcing the new search engine: “The role of the indexing pipeline is to process file and user activity, extract content and metadata out of it, and create a search index.” They added that the easiest way to index a corpus of documents would be to just keep checking and iterating, but that couldn’t keep up with a system this large and complex, especially one that is focused on a unique set of content for each user (or group of users in the business tool).
They account for that in a couple of ways. They create offline builds every few days, but they also watch as users interact with their content and try to learn from that. As that happens, Dropbox creates what it calls “index mutations,” which they merge with the running indexes from the offline builds to help provide ever more accurate results.
The indexing process has to take into account the textual content assuming it’s a document, but it also has to look at the underlying metadata as a clue to the content. They use this information to feed a retrieval engine, whose job is to find as many documents as it can, as fast it can and worry about accuracy later.
It has to make sure it checks all of the repositories. For instance, Dropbox Paper is a separate repository, so the answer could be found there. It also has to take into account the access-level security, only displaying content that the person querying has the right to access.
Once it has a set of possible results, it uses machine learning to pinpoint the correct content. “The ranking engine is powered by a [machine learning] model that outputs a score for each document based on a variety of signals. Some signals measure the relevance of the document to the query (e.g., BM25), while others measure the relevance of the document to the user at the current moment in time,” they explained in the blog post.
After the system has a list of potential candidates, it ranks them and displays the results for the end user in the search interface, but a lot of work goes into that from the moment the user types the query until it displays a set of potential files. This new system is designed to make that process as fast and accurate as possible.
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Google has launched a new video-based Q&A app called Cameos on the App Store, which allows people to answer questions about themselves, then share those answers directly on Google. The app is aimed at celebrities and other public figures, who are often the subject of people’s Google searches. With the Cameos app, they can address fans’ questions in their own voice, instead of leaving the answers up to other websites.
The feature is an extension of the company’s “Posts on Google” platform which has been slowly rolling out over the past couple of years, giving some people and organizations the ability to post directly to Google’s search result pages.
Initially, “Posts on Google” was open only to a small number of celebrities, sports teams and leagues, movie studios and museums. But last year, it expanded to local businesses who could then publish their events, products and services. This spring, it opened up to musicians. And it had been earlier experimenting with a feature that inserted celebs’ video answers into search, as well.
Those invited to use the service have been able to post updates to Google which include text, images, video, GIFs, events, and links to other sites. In a way, it’s like Google’s version of Twitter – but with the goal of helping web searchers find answers to questions.

The new Cameos app is focused specifically on video posts.
As the App Store description explains: “Record video answers to the most asked questions on Google and then post them right to Google. Now, when people search for you, they’ll get answers directly from you.”
The app also allows celebrities using Cameos to see the top questions the internet wants answers to, so they can pick and choose which of those they want to answer. Their answers, recorded with their iPhone’s camera, will be published directly to Google search and in the Google app.
The service brings to mind Instagram’s new Q&A feature, launched this July. Via a Questions widget that’s added to an Instagram Story, users can solicit questions from their followers. The recipient can then select the questions they want to respond to, and post their replies publicly to their Instagram Story.
The feature become so popular, so quickly, that it began to dominate people’s Stories feed. There was even a bit of backlash.

Google’s Cameo video answers could be more useful, as they’d only appear when that question was searched on Google. It would also give Google a social platform of sorts – a market it has tried to compete in for years, and is now littered with failures like Orkut, Dodgeball, Latitude, Lively, Google Wave, Google Buzz, and of course, Google+. At least with Posts, Google is focusing on what it does best: Search.
Google confirmed the feature is part of its earlier efforts around Posts on Google using video. The Cameos app is part of a pilot that makes it possible for celebrities and other prominent figures to participate, a spokesperson said.
The Cameos app description also notes that it will add more questions for celebs to answer on a regular basis.
Access to use Cameos is only available upon invitation. Those interested can download the iOS app to request access.
Updated 8/9/18, 11:20 AM with Google comment
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Last May, Google launched a new events feature designed to help web searchers more easily find things to do nearby, while also challenging Facebook’s dominance in the local events space. Today, Google is updating event search with personalized event suggestions, and well as a new design that puts more event information directly in the search results.
When the feature first launched last year, Google said it was built in response to the millions of search queries the company saw daily for finding local events and activities.
However, it was also clearly an area where Google had ceded ground to Facebook. The social network said last fall that 100 million people were using Facebook Events on a daily basis, and 650 million were using it across the network. Those numbers have surely grown since.
The original design for Google’s events search offered web searchers a list of events they could filter by category and date. Meanwhile, the event listings themselves were powered by data from Eventbrite, Ticketmaster, SeatGeek, Meetup, Vividseats, Jambase, LiveNation, Burbio, Allevents.in, Bookmyshow.com, StubHub, Bandsintown, Yext and Eventful.
Now, Google is returning these event results in a new format — instead of more standard search results, they appear as cards, each with a little bookmark icon you can click on to save the event details for future reference.
In addition, when you tap on one of the event listings’ cards, you’re directed to a more information-rich page, offering the date, time, location and shortcuts to save the event, buy tickets, get directions or share it with others. The design looks even more like a Facebook event page, albeit without a discussion section for posts and comments.

Clicking on the “Get tickets” button will pop up a window that links to ticket resellers for the event in question — like Ticketmaster or StubHub, for example.
As users continue to click, browse and save events, the system will also be trained to know what sort of events users like.

This data will be used to power the new personalized recommendations feature, found in the bottom navigation bar’s “For You” tab, which organizes suggested events by category, like “concerts,” “festivals,” “shows,” free events and more. This page also will show you trending and popular events in the area, if you need ideas.
The feature is not currently live for everyone, but is rolling out to mobile users over the next few days, says Google.
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One of Google’s first hardware products was its search appliance, a custom-built server that allowed businesses to bring Google’s search tools to the data behind their firewalls. That appliance is no more, but Google today announced the spiritual successor to it with an update to Cloud Search. Until today, Cloud Search only indexed G Suite data. Now, it can pull in data from a variety of third-party services that can run on-premise or in the cloud, making the tool far more useful for large businesses that want to make all of their data searchable by their employees.
“We are essentially taking all of Google expertise in search and are applying it to your enterprise content,” Google said.
One of the launch customers for this new service is Whirlpool, which built its own search portal and indexed more than 12 million documents from more than a dozen services using this new service.
“This is about giving employees access to all the information from across the enterprise, even if it’s traditionally siloed data, whether that’s in a database or a legacy productivity tool and make all of that available in a single index,” Google explained.
To enable this functionality, Google is making a number of software adapters available that will bridge the gap between these third-party services and Cloud Search. Over time, Google wants to add support for more services and bring this cloud-based technology on par with what its search appliance was once capable of.
The service is now rolling out to a select number of users. Over time, it’ll become available to both G Suite users and as a standalone version.
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Box announced today that it has acquired Butter.ai, a startup that helps customers search for content intelligently in the cloud. The terms of the deal were not disclosed, but the Butter.AI team will be joining Box.
Butter.AI was started by two ex-Evernote employees, Jack Hirsch and Adam Walz. The company was partly funded by Evernote founder and former CEO Phil Libin’s Turtle Studios. The latter is a firm established with a mission to use machine learning to solve real business problems like finding the right document wherever it is.
Box has been adding intelligence to its platform for some time, and this acquisition brings the Butter.AI team on board and gives them more machine learning and artificial intelligence known-how while helping to enhance search inside of the Box product.

“The team from Butter.ai will help Box to bring more intelligence to our Search capabilities, enabling Box’s 85,000 customers to more easily navigate through their unstructured information — making searching for files in Box more contextualized, predictive and personalized,” Box’s Jeetu Patel wrote in a blog post announcing the acquisition.
That means taking into account the context of the search and delivering documents that make sense given your role and how you work. For instance, if you are a salesperson and you search for a contract, you probably want a sales contract and not one for a freelancer or business partnership.
For Butter, the chance to have access to all those customers was too good to pass up. “We started Butter.ai to build the best way to find documents at work. As it turns out, Box has 85,000 customers who all need instant access to their content. Joining Box means we get to build on our original mission faster and at a massive scale,” company CEO and co-founder Jack Hirsch said.
The company launched in September 2017, and up until now it has acted as a search assistant inside Slack you can call upon to search for documents and find them wherever they live in the cloud. The company will be winding down that product as it becomes part of the Box team.
As is often the case in these deals, the two companies have been working closely together and it made sense for Box to bring the Butter.AI team into the fold where it can put its technology to bear on the Box platform.
“After launching in September 2017 our customers were loud and clear about wanting us to integrate with Box and we quickly delivered. Since then, our relationship with Box has deepened and now we get to build on our vision for a MUCH larger audience as part of the Box team,” the founders wrote in a Medium post announcing the deal.
The company raised $3.3 million over two seed rounds. Investors included Slack and General Catalyst.
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