Multilingual user modeling for personalized re-ranking of multilingual web search results
نویسندگان
چکیده
This paper proposes a novel method to represent user models in a multilingual manner which caters for multilingual Web search users. Furthermore, an evaluation is presented which examines a result re-ranking algorithm that is based upon that model.
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تاریخ انتشار 2012