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METHODS AND SYSTEMS FOR RANKING SEARCH RESULTS VIA IMPLICIT QUERY DRIVEN ACTIVE LEARNING
METHODS AND SYSTEMS FOR RANKING SEARCH RESULTS VIA IMPLICIT QUERY DRIVEN ACTIVE LEARNING
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机译:通过隐式查询驱动的主动学习对搜索结果进行排名的方法和系统
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摘要
Certain embodiments involve ranking search results from an information retrieval system using user query data to provide relevant search results to users of the information retrieval system. For example, a system determines a weight factor associated with a first user that provides a query to the information retrieval system based on a type or role of the first user. The system further determines a boost factor associated with the first user based on the weight factor and a number of consecutive search queries provided by the user. The system uses the boost factor to automatically tune a ranking algorithm to adjust a rank of a search result item resulting from a search query provided by a second user.
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