| 摘要 |
The present invention discloses a method of searching, identifying and classifying relevant content topics associated with a content object. The method comprising the steps of: receiving an input of a given content object, extracting candidate topics including diverse set of themes from content items of at least one data network source related to the given content object, wherein the candidate topics are identified by leading keywords according to predefined rules, creating topics' candidate lists that are organized according to target profiles and/or categories, calculating relevancy ranking based on analyzing statistics of keywords distribution in content items, calculating Interest /Popularity ranking based on calculating usages' statistics of content items related to the topics in the data network source, and/or of topics keywords in different mediums of the relevant data networks and calculating qualification Ranking by integrating normalized relevancy ranking with normalized Interest /Popularity ranking. The receiving, extracting, extracting, and calculating are performed by at least one processor device. |
