RECOMMENDATION BASED CACHING OF CONTENT ITEMS
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United States of America Patent
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N/A
Issued Date -
Jun 7, 2012
app pub date -
Dec 3, 2010
filing date -
Dec 3, 2010
priority date (Note) -
Abandoned
status (Latency Note)
Importance
Abstract
Content item recommendations are generated for users based on metadata associated with the content items and a history of content item usage associated with the users. Each content item recommendation identifies a user and a content item and includes a score that indicates how likely the user is to view the content item. Based on the content item recommendations, and constraints of one or more caches, the content items are selected for storage in one or more caches. The constraints may include users that are associated with each cache, the geographical location of each cache, the size of each cache, and/or costs associated with each cache such as bandwidth costs. The content items stored in a cache are recommended to users associated with the cache.
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