By Marijn Koolen, Gabriella Kazai, Jaap Kamps, Antoine Doucet, Monica Landoni (auth.), Shlomo Geva, Jaap Kamps, Ralf Schenkel (eds.)

This e-book constitutes the completely refereed post-workshop lawsuits of the tenth overseas Workshop of the Initiative for the assessment of XML Retrieval, INEX 2011, held in Saarbrücken, Germany, in December 2011. The 33 revised complete papers awarded have been rigorously reviewed and chosen for presentation on the workshop from 36 submissions. The papers are geared up in five study tracks on ebook and social seek, Xdata centric, query answering, relevance suggestions, and snippet retrieval.

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Extra info for Focused Retrieval of Content and Structure: 10th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2011, Saarbrücken, Germany, December 12-14, 2011, Revised Selected Papers

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In: Grove, A. ) Proceedings of the 74th ASIS&T Annual Meeting, vol. : Evaluation Methods for Rankings of Facetvalues for Faceted Search. , de Rijke, M. ) CLEF 2011. LNCS, vol. 6941, pp. 131–136. : Indri: a language-model based search engine for complex queries. : Unanswered questions in the design of controlled vocabularies. : Faceted Search. : Overview of the INEX 2011 Data Centric Track. , Schenkel, R. ) INEX 2011. LNCS, vol. 7424, pp. 118–137. : Linking folksonomy to Library of Congress subject headings: an exploratory study.

This is probably due in part to the larger number of judged documents, but perhaps also to the difference in the tasks. The Mechanical Turk workers were asked to judged the topical relevance of books—is the book on the same topic as the request from the LT forum—whereas the LT forum members were asked by the requester to recommend books from a possibly long list of topically relevant books. Another interesting observation is that feedback is not effective for the AMT evaluation on the Full, Amazon and Social indexes, whereas it was effective for the LT evaluation.

In this paper we describe our participation in INEX 2011 in the Books and Social Search Track and the Data Centric Track. For the Books and Social Search Track we focus on the impact of different document representations of book metadata for book search, using either professional metadata, user-generated content or both. We evaluate the retrieval results against ground truths derived from the recommendations in the LibraryThing discussion groups and from relevance judgements obtained from Amazon Mechanical Turk.

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