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Discovering Apps Across iOS, Android and Windows Phone Now Seamless With AppCrawlr's Search and Recommendation Site

AppCrawlr First to Identify and Recommend Similar Apps Across Major Platforms


News provided by

AppCrawlr

Nov 05, 2013, 08:30 ET

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SAN FRANCISCO, Nov. 5, 2013 /PRNewswire/ -- TipSense, LLC today announced the addition of Windows Phone Apps to its leading app discovery and recommendation site - AppCrawlr. Users now can easily find similar apps when searching across iOS, Android and Windows Phone by simply clicking the "similar apps on" button located on every app detail page. 

"We are committed to empowering mobile users by connecting them to the most suitable apps for their needs," said David Schorr, founder of AppCrawlr. "With the ever increasing number of apps in the marketplace, mobile users are finding it more and more difficult to sift through all the noise and find the best apps. AppCrawlr's granular discovery and recommendation algorithms cut through all that noise and surface valuable insights to help users make the best app purchase decision."

AppCrawlr uses proprietary advanced machine learning and statistical modeling technologies to understand how users relate to and experience apps. By fully leveraging latent concepts and signals, this approach allows for a new breed of discovery and recommendation based on individual interests and functional app usage.

AppCrawlr continues to drive the app discovery market forward through a host of innovative and differentiating features including:

  1. Deep Data Analysis: To help users find apps that best meet their individual needs, AppCrawlr breaks out ratings into a number of detailed aspects, such as fun and engaging, app reliability, overall satisfaction, replay value, ad intrusiveness, family friendly, battery life, and security and privacy.
  2. Guided discovery: AppCrawlr allows users to continuously refine and adjust their searches with a variety of contextual filters. For example, a search for calculator suggests specific types of calculators such as scientific, unit conversion or real estate, specific features such as big buttons, as well as different audiences such as students, teachers or investors.
  3. Comprehensive Categories: AppCrawlr creates groupings covering every niche of apps, giving users exposure to apps they would otherwise not find such as hack-n-slash games, tilt shift filters, dungeon crawler, old time radio, or shared shopping lists.
  4. App Recommendations: By clicking the "more like this" button on any app, users can start to discover new apps based on functional similarities to apps they already like. For example, a user who likes Evernote, can find related apps that are good for "busy moms" and "staying organized."

For more information about AppCrawlr, visit appcrawlr.com.

About AppCrawlr

AppCrawlr and DishTip are powered by TipSense, a technology platform that systematically extracts knowledge and related concepts from vast repositories of unstructured data and brings them to the surface in a usable format. Core to this platform are breakthrough capabilities in conceptual entity recognition and content fingerprinting which help to better curate content, surface vastly cleaner signals, and offer new capabilities for search, recommendation, summarization, guided discovery and predictive analytics. Read more about the AppCrawlr technology.

AppCrawlr is a self-funded venture based out of San Francisco.

Read more news from AppCrawlr.

SOURCE AppCrawlr

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