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  2. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    When the system is limited to recommending content of the same type as the user is already using, the value from the recommendation system is significantly less than when other content types from other services can be recommended. For example, recommending news articles based on news browsing is useful.

  3. Cold start (recommender systems) - Wikipedia

    en.wikipedia.org/wiki/Cold_start_(recommender...

    The cold start problem is a well known and well researched problem for recommender systems.Recommender systems form a specific type of information filtering (IF) technique that attempts to present information items (e-commerce, films, music, books, news, images, web pages) that are likely of interest to the user.

  4. News aggregator - Wikipedia

    en.wikipedia.org/wiki/News_aggregator

    The user interface of the feed reader Tiny Tiny RSS. In computing, a news aggregator, also termed a feed aggregator, content aggregator, feed reader, news reader, or simply an aggregator, is client software or a web application that aggregates digital content such as online newspapers, blogs, podcasts, and video blogs (vlogs) in one location for easy viewing.

  5. Category:Recommender systems - Wikipedia

    en.wikipedia.org/wiki/Category:Recommender_systems

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  6. Knowledge-based recommender system - Wikipedia

    en.wikipedia.org/wiki/Knowledge-based...

    Knowledge-based recommender systems are often conversational, i.e., user requirements and preferences are elicited within the scope of a feedback loop.A major reason for the conversational nature of knowledge-based recommender systems is the complexity of the item domain where it is often impossible to articulate all user preferences at once.

  7. Collaborative filtering - Wikipedia

    en.wikipedia.org/wiki/Collaborative_filtering

    This image shows an example of predicting of the user's rating using collaborative filtering. At first, people rate different items (like videos, images, games). After that, the system is making predictions about user's rating for an item, which the user has not rated yet. These predictions are built upon the existing ratings of other users ...

  8. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    In the 1980s, AI started to become prominent in finance as expert systems were commercialized. For example, Dupont created 100 expert systems, which helped them to save almost $10 million per year. [76] One of the first systems was the Pro-trader expert system that predicted the 87-point drop in the Dow Jones Industrial Average in 1986. "The ...

  9. JSON Feed - Wikipedia

    en.wikipedia.org/wiki/JSON_Feed

    JSON Feed is a Web feed file format for Web syndication in JSON instead of XML as used by RSS and Atom. [1] A range of software libraries and web frameworks support content syndication via JSON Feed. [2] Supporting clients include NetNewsWire, NewsBlur, [3] ReadKit and Reeder.