A PRELIMINARY STUDY OF THE IMPACT OF SOCIAL TAGS ON BOOK SEARCH

Heng-Yi Chen, Hao-Ren Ke

Abstract


With the proliferation of Web 2.0, Social Tag is widely used in various applications. Online bookstores (like Amazon) and online bibliographic community Websites (like LibraryThing) have quickly accumulated a large amount of user-generated information. INEX (INitiative for the Evaluation of XML retrieval) have been using the Amazon/LibraryThing corpus for its Social Book Search Track since 2011. The purpose of the INEX Social Book Search Track is to develop novel algorithms leveraging professional metadata and user-generated metadata for effectively retrieve books. This paper uses INEX 2011 Social Book Search Track test data set to conduct book search experiments and evaluate the retrieval results. Indices based on professional metadata, user-generated metadata and both are created respectively. The experimental results show that searching via user-generated metadata outperforms searching via professional metadata.

Keywords


Book Search, Information Retrieval; Metadata; Social Tag

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References


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