Query type recognition and result filtering in INEX 2014 social book search track

Shih Hung Wu, Pei Kai Liao, Hua Wei Lin, Li Jen Hsu, Wei Lun Xiao, Liang Pu Chen, Tsun Ku, Gwo Dong Chen

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

The paper reports our system in INEX 2014 Social Book Search (SBS) track. This is the second time that we attend the SBS track. Based on our social feature re-ranking system [1], we improve our system by involving some knowledge on understanding the queries. Our baseline system is built on Lucene [6], an open source information retrieval system. The new modification is a set of rules that can filter out unnecessary books from the recommendation list. The official run results show that the system performance is much improved than the 2013 system.

Original languageEnglish
Pages (from-to)525-535
Number of pages11
JournalCEUR Workshop Proceedings
Volume1180
StatePublished - 2014
Event2014 Cross Language Evaluation Forum Conference, CLEF 2014 - Sheffield, United Kingdom
Duration: 15 Sep 201418 Sep 2014

Keywords

  • Query type recognition
  • Social Book Search
  • Social features

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