Amit Chowdhry of Forbes reports, “Facebook has over a trillion status updates, text posts, photos and pieces of content archived, which is why the social network company has been heavily focused on improving its search engine. Over the last few years, Facebook displayed results from Bing.com for keyword searches since they had a partnership with Microsoft. However, Facebook recently decided to completely remove Microsoft Bing search results. ‘We’re not currently showing web search results in Facebook Search because we’re focused on helping people find what’s been shared with them on Facebook,’ said a Facebook spokesperson in an interview with Reuters. ‘We continue to have a great partnership with Microsoft in lots of different areas’.” Read more
Posts Tagged ‘semantic search’
Apigee is adding new capabilities to its Edge API digital business platform, including features that could be of use to applications that consume semantic services related to search or entity identification, for example.
Apigee Edge is designed to let companies and developers securely manage their APIs and to measure key metrics from API usage and traffic. Analytics always has been a core part of the platform, especially as it relates to providing real-time data to developers about how their APIs are being used, says Ed Anuff, VP products strategy at Apigee. With the introduction of API Traffic Analytics to the platform, it’s possible to measure metrics such as latency that can affect overall user experiences. “A lot of our customers asked for a better way to visualize that, to measure and view and set alerts to take steps to solve issues when latency is increasing.” says Anuff.
The challenge for developers working with semantic web technologies and processing services, he says, often comes down to making sure that you can deliver responsive results for the applications leveraging them.
“Oftentimes people find that the tradeoff of waiting a longer period of time for best results can be a challenge,” he says. “So the main thing that holds back the introduction of semantic enrichment to queries is making sure you deliver experiences where there is not variable latency.”
Amit Chowdhry of Forbes reports, “This week, Facebook is adding the ability to search for keywords contained within posts, photos, articles and videos that were shared with you. Facebook’s semantic Graph Search features like the ability to search for the phrases “My friends that work at Facebook” and “Photos of my friends” has not changed. Facebook launched Graph Search in beta last year. Facebook decided to add the post search feature after receiving feedback from users… ‘With a quick search, you can get back to a fun video from your graduation, a news article you’ve been meaning to read, or photos from your friend’s wedding last summer,’ said Tom Stocky.” Read more
Yandex is going beyond web search and into the enterprise. This week it announced a new venture, the Yandex Data Factory, which will apply its machine-learning products and algorithms – which power more than 70 percent of its own products and applications – to business’ Big Data issues.
Using a client’s pre-existing data, the press release notes, Yandex creates an algorithmic model, which it then applies to the client’s new data to predict what will happen next in various scenarios. “This is exactly what is happening every second on Yandex’s services when we personalize search suggestions, recommend music, recognize speech or images, or target ads,” the release notes.
The model cases for Yandex Data Factory include: churn prediction by running segmentation and micro-segmentation algorithms on the data to find patterns in customer behavior that indicate they’re heading for the exit or that possible fraud activity is underway; personalizing cross-sell and up-sell recommendations based on user profiles built upon the searches they made, links or ads they clicked, videos they watched, and other activities; using its speech-to-text technology to analyze call center or other support call speech streams and detect anomalies in interactions to drive employee interaction quality and improve skills.
It also uses history-based prediction technology and its own computer vision and image recognition technologies to enables businesses to analyze large volumes of images and videos to spot anomalies, find recurring objects or events, and other things that will help them assess conditions and assure productivity.
San Jose, CA (PRWEB) December 08, 2014 — MarkLogic recognized Smartlogic with a Partner Excellence Award for Smartlogic’s ability to power MarkLogic’s native semantic and search capabilities.
Semaphore performs ontology-driven semantic analysis to describe and extract information from content of all types and sources. Semaphore turns text into data by analyzing it and creating triples or XML metadata describing the results of that analysis. This machine readable data powers MarkLogic’s native semantic and search capabilities. Read more
Sprylogics Signs Partnership With iHeartMedia To Promote Its “Breaking Sports” App Through FOX Sports Radio Network
Sprylogics International Corp. (“Sprylogics” or the “Company”) (SPY), a technology provider of local mobile search, semantic search and messaging solutions for consumers and businesses, announced today a partnership with iHeartMedia, the leading media company in America with a greater reach in the U.S. than any other radio or television outlet, to launch Sprylogic’s ground-breaking new app, Breaking Sports, through iHeartMedia’s FOX Sports Radio Network. Read more
Retailers are pushing holiday shopping deals earlier and earlier each year, but for many consumers the Thanksgiving weekend still signals the official start of the gift-buying season. With that in mind, we present some thoughts on how the use of semantic technology may impact your holiday shopping this year.
- Pinterest has gained a reputation as the go-to social network for online retailers that want to drive traffic and sales. Shoppers get an advantage, too, as more e-tailers deploy Rich Pins, a feature made available for general use late last year, for their products, using either schema.org or Open Graph. Daily updated Product Rich Pins now include extra information such as real-time pricing, availability and where to buy metatags right on the Pin itself. And, anyone who’s pinned a product of interest will get a notification when the price has dropped. Overstock, Target, and Shopify shops are just some of the sites that take advantage of the feature. Given that 75 percent of its traffic comes from mobile devices, it’s nice that a recent update to Pinterest’s iPhone mobile app – and on the way for Andoid and iPads – also makes Pins information and images bigger on small screens.
- Best Buy was one of the earliest retailers to look to semantic web technologies to help out shoppers (and its business), adding meaning to product data via RDFa and leveraging ontologies such as GoodRelations, FOAF and GEO. Today, the company’s web site properties use microdata and schema.org, continually adding to shopper engagement with added data elements, such as in-stock data and store location information for products in search results, as you can see in this presentation this summer by Jay Myers, Best Buy’s Emerging Digital Platforms Product Manager, given at Search Marketing Expo.
- Retailers such as Urban Decay, Crate&Barrel, Golfsmith and Kate Somerville are using Edgecase’s Adaptive Experience platform, generating user-friendly taxonomies from the data they already have to drive a better customer navigation and discovery experience. The system relies on both machine learning and human curation to let online buyers shop on their terms, using the natural language they want to employ (see our story here for more details).
- Walmart at its Walmart Labs has been steadily driving semantic technology further into its customer shopping experience. Last year, for example, Walmart Labs senior director Abhishek Gattani discussed at the Semantic Technology and Business conference capabilities it’s developed such as semantic algorithms for color detection so that it can rank apparel, for instance, by the color a shopper is looking for and show him items in colors close to read when red itself is not available, as well as categorizing queries to direct people to the department that’s really most interesting to them. This year, WalMart Labs added talent from Adchemy when it acquired the company to bring further expertise in semantic search and data analytics to its team, as well as Luvocracy, an online community that enables the social shopping experience—from discovery of products recommended by people a users trusts to commerce itself. Search and product discovery is at the heart of new features its rolling out to drive the in-store experience too, via mobile apps such as Search My Store to find exactly where items on their list are located at any retail site.
What’s your favorite semantically-enhanced shopping experience? Share it with our readers below to streamline their holiday shopping!
Ian Harris of Search Engine Journal recently wrote, “Semantic search gives the industry a chance to go back to basics and provide information rather than force it. Let’s take a look at how to embrace semantics.” First off, Harris suggests thinking like a user: “Simply put, if you’re going to optimize for the user, you need to think like the user. In the world of semantics, keywords just don’t cut it… Take the above example. You can see that semantics for a generic term already highlights a wealth of information that a search engine has matched to the keyword. Imagine you are building up your semantic relevance for your delivery service. Optimization on your website should be geared towards information surrounding that service, not only to gain a ranking within relevant SERPs, but to provide answers relevant to your expertise. This could mean you’re providing information about your delivery service, the logistics of your business, and what’s happening in the industry. If the site only focuses on keywords, opportunities will be missed.” Read more
webLyzard reports, “Following a presentation by U.S. Vice President Joe Biden, the White House has just released the Climate Resilience Toolkit, a new decision support initiative that makes use of the innovative text analysis and knowledge visualization services of webLyzard technology. The Toolkit provides expert knowledge and a suite of analytic components to help citizens and communities manage climate-related risks and opportunities. The webLyzard platform allows users to identify the most relevant online content across all agencies of the U.S. Global Change Research Program as well as regional climate science centers. The development of the Toolkit was led by the National Oceanic and Atmospheric Administration (NOAA), which has been using webLyzard’s web intelligence technologies for more than six years.” Read more
Mark Albertson of The Gospel Herald recently wrote, “Much of the conversation surrounding the cloud storage industry today is centered on managing the demands of big data. Yet the real story may well be how cloud technology vendors are moving to better search and organize the vast amount of data collected by Fortune 500 companies on a daily basis, and the potential problems this trend may cause for cloud storage firms such as Box or Dropbox. One of the companies at the front line of ‘smarter data’ as opposed to just ‘big data’ is MarkLogic, a database company based in San Carlos, California, who has been working with major global firms since 2001 to improve search and draw valuable meaning from the data being collected, a process often referred to as working within the semantic Web.” Read more
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