| 摘要 |
Within a content item set, particular content items may be identified as trending, based on changes in a frequency of references to the content items. For example, users of a social network may reference web resources by posting the uniform resource locators (URLs) thereof in messages, and trending web resources may be identified by detecting changes in the frequencies of such references. These trends may be tracked by counting such references in content item histograms, and by computing trend scores at the time of detecting each reference to a content item. Trending content items may then be identified at a second time by comparing the trend scores after decaying the trend scores of respective content items, based on the period between the second time and the last reference time of the last detected reference to the content item. |
