Selective personalization and group profiles for improved web search personalization

2020 Turkish Journal of Electrical Engineering and Computer Sciences  
Personalization is a common technique used in Web search engines to improve the effectiveness of retrieval. 4 While personalizing some queries yields significant improvements on user experience by providing a ranking inline with 5 the user preferences, it fails to improve or even degrades the effectiveness for less ambiguous queries. A potential for 6 personalization metric can improve search engines by selectively applying personalization. One such measure, click 7 entropy uses the query
more » ... ses the query history and the clicked documents for the query, which might be sparse for some queries. In this 8 article, the topic entropy measure is improved by integrating the user distribution to the metric, robust to the sparsity 9 problem. Furthermore, a topic model based ranking for personalization method is proposed using grouped user profiles. 10 Experiments reveal that the proposed potential prediction method correlates with human query ambiguity judgments 11 and group profiles based ranking method improve the Mean Reciprocal Rank by 8%. 12
doi:10.3906/elk-1909-9 fatcat:22xspvfdindyfi3e65pd2zo66m