Discovering and using groups to improve personalized search
Proceedings of the Second ACM International Conference on Web Search and Data Mining
The demographics of web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Who uses web search for what: and how
Proceedings of the fourth ACM international conference on Web search and data mining
Inferring and using location metadata to personalize web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Personalizing web search results by reading level
Proceedings of the 20th ACM international conference on Information and knowledge management
Inferring the demographics of search users: social data meets search queries
Proceedings of the 22nd international conference on World Wide Web
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In this paper we study usefulness of users' gender information for improving ranking of ambiguous queries in personalized and non-contextual settings. This study is performed as a sequence of offline re-ranking experiments and it demonstrates that the proposed gender-aware ranking features provide improvements in ranking quality. It is also shown that the proposed personalized features exhibit performance superior to non-contextual ones.