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News feed is a popular form of web feed. RSS feed makes dissemination of blogs easy. Product feeds play increasingly important role in e-commerce and internet marketing, as well as news distribution, financial markets, and cybersecurity. [1] Data feeds usually require structured data that include different labelled fields, such as "title" or ...
An infobox for a YouTube personality or channel. Template parameters [Edit template data] This template has custom formatting. Parameter Description Type Status Honorific prefix honorific_prefix honorific prefix Honorific prefix(es), to appear above the YouTube personality's name. Example [[Sir]] Line optional Name name The name of the YouTube personality or channel. String suggested Honorific ...
RSS (RDF Site Summary or Really Simple Syndication) [2] is a web feed [3] that allows users and applications to access updates to websites in a standardized, computer-readable format. Subscribing to RSS feeds can allow a user to keep track of many different websites in a single news aggregator, which constantly monitors sites for new content ...
Typical examples of this approach are neighbourhood-based CF and item-based/user-based top-N recommendations. For example, in user based approaches, the value of ratings user u gives to item i is calculated as an aggregation of some similar users' rating of the item:
One example of enhancements is specification of thumbnails for each media enclosure, [3] and the possibility to enclose multiple versions of the same content (e.g. different file formats). The format can be used for podcasting, which uses the RSS format as a means of delivering content to media-playing devices, as well as Smart TVs. Media RSS ...
Note that this template makes it clear that it "has" various Wikidata property elements, it does not automatically "use" the information stored in Wikidata – the VIDEOID, CHANNELID, HANDLE, USERNAME, SHOWID or PLAYLISTID alphanumeric parameters mentioned below must be entered by hand in the template.
As in user-user systems, similarity functions can use normalized ratings (correcting, for instance, for each user's average rating). Second, the system executes a recommendation stage. It uses the most similar items to a user's already-rated items to generate a list of recommendations. Usually this calculation is a weighted sum or linear ...
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.