Integrating Social Features and Query Type Recognition in the Suggestion Track of CLEF 2015 Social Book Search Lab
نویسندگان
چکیده
The Social Book Search (SBS) Lab is part of CLEF 2015 lab series. This is the third time that the CYUT CSIE team attends the SBS track. Based on a full-text search engine, we build a social feature re-ranking system and introduce more knowledge on understanding the queries. We defined a set of rules to filtering out unnecessary books from the recommendation list. The official run results show that the system performance is improved from our previous system.
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