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AZ Tech Beat | November 21, 2017

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Big Data From Little Scottsdale: Stremor’s New Heuristic Search Tools

Big Data From Little Scottsdale: Stremor’s New Heuristic Search Tools
Adriane Goetz

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When it comes to online search, relevance is everything, right? Unfortunately, “relevance” as we presently know it may not be enough.

According to Scottsdale-based Stremor CEO Bill Irvine, “Relevance is no longer relevant. Too many results on the first page of a search are mediocre content at best, stuffed with all the right words to rank high. It’s easy to game searching engines with unimportant content intended for nothing more than getting ad revenue from disappointed users.”

Years ago, in the “simpler” days of the Web, search engines placed entire domains into categories based on the type of content and the manner in which the pages were coded. Today, this approach is much less valid, as low-value content can be made to seem valuable by using certain template styles and “black hat” SEO techniques.

Stremor combats these search issues with its own core language heuristics analysis technology, Liquid Helium, and has been making waves for its recently released tools, Samuru and the TLDR Reader app.

Touted as “the fix for broken search,” Samuru (currently in public beta) is a first-of-its-kind language heuristics search engine that leverages Liquid Helium’s technology to create an understanding of content in relationship to the user’s context and perform a deep analysis of the content of search results, far beyond just the headline, keywords or page rank.

Samuru detects whether content is informative, timely, instructional or editorial. It then returns the results with intelligent ordering and grouping, yielding easier to find answers in search results by reducing the actual content of the pages returned by search, allowing users to determine if the page is worth their time and reducing the occurrence of heavily search-optimized articles from low-value content mills in its results.

Debuted at this year’s ShowStoppers CES event, Stremor’s other latest tool is the TLDR Reader app, the first mobile app to deliver real-time, on-the-fly summaries of news articles, blog posts, and online journals. Available for iOS and Android devices, TLDR Reader uses Stremor’s Liquid Helium technology to instantly create concise summaries (about 350 characters) of any article on the web.

Stremor believes this new app provides the best of both worlds for site owners as well as users. While other mobile readers prevent websites from monetizing their content by wrapping the source article in a custom interface that strips ads and masks branding, TLDR Reader’s integrated browser allows site owners to gain traffic without sacrificing revenue or brand awareness.

Conversely, users benefit from better summarized “teasers” than would normally be provided from the first few lines of a story or search result, increasing the likelihood they will visit the site. TLDR Reader users also have unlimited access to web content through a seamless “find more like” feature that helps to explore complicated subjects through short summaries of related content.

TLDR is also available as a plug-in for Firefox, Chrome, and Safari browsers.