USTB at INEX2014: Social Book Search Track
نویسندگان
چکیده
In this paper, we describe our participation in the INEX 2014 Social Book Search(SBS) Track Suggestion Task. We investigate the contribution of user-generated data and construct a social book search system based on several important techniques. We perform re-ranking on Galago searching results on enriched XML index by 11 different strategies and combine the results with learning to rank. We find that 1) enriched index improves the effectiveness, 2) tag is the best-performed social feature on re-ranking and 3) Random Forest shows the best performance on combining in this case.
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