Overview of the INEX 2007 Book Search Track (BookSearch’07)

Kazai, Gabriella; Doucet, Antoine

doi:10.1007/978-3-540-85902-4_14

Cited by 9 publications

(8 citation statements)

References 8 publications

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“…In the spirit of XML and semi-structured retrieval [2], it also makes sense to consider document structure in CQA, as has been done for Web Search [25], book retrieval [18] or sponsored search [3]. Thus in the case of Yahoo!…”

Section: Ranking and Recommendation In Cqamentioning

confidence: 99%

Predicting web searcher satisfaction with existing community-based answers

Liu

Agichtein

Dror³

et al. 2011

Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

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Community-based Question Answering (CQA) sites, such as Yahoo! Answers, Baidu Knows, Naver, and Quora, have been rapidly growing in popularity. The resulting archives of posted answers to questions, in Yahoo! Answers alone, already exceed in size 1 billion, and are aggressively indexed by web search engines. In fact, a large number of search engine users benefit from these archives, by finding existing answers that address their own queries. This scenario poses new challenges and opportunities for both search engines and CQA sites. To this end, we formulate a new problem of predicting the satisfaction of web searchers with CQA answers. We analyze a large number of web searches that result in a visit to a popular CQA site, and identify unique characteristics of searcher satisfaction in this setting, namely, the effects of query clarity, query-to-question match, and answer quality. We then propose and evaluate several approaches to predicting searcher satisfaction that exploit these characteristics. To the best of our knowledge, this is the first attempt to predict and validate the usefulness of CQA archives for external searchers, rather than for the original askers. Our results suggest promising directions for improving and exploiting community question answering services in pursuit of satisfying even more Web search queries.

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Section: Ranking and Recommendation In Cqamentioning

confidence: 99%

Predicting web searcher satisfaction with existing community-based answers

Liu

Agichtein

Dror³

et al. 2011

Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

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“…Current applications of XML information retrieval technologies already exist [54]. An example is that of book search [38], which is a research track being investigated at INEX since 2007 [39].…”

Section: Resultsmentioning

confidence: 99%

XML Information Retrieval

Lalmas¹

2009

Encyclopedia of Library and Information Sciences, Third Edition

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Nowadays, increasingly, documents are marked-up using XML, the format standard for structured documents. In contrast to HTML, which is mainly layoutoriented, XML follows the fundamental concept of separating the logical structure of a document from its layout. This document logical structure can be exploited to allow a focused access to documents, where the aim is to return the most relevant fragments within documents as answers to queries, instead of whole documents. This article describes approaches developed to query, represent, and rank XML fragments.

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“…In 2007, the track focused on information retrieval (IR) tasks [5]. In 2008, two new tasks were introduced, including the book structure extraction task [6].…”

Section: Introductionmentioning

confidence: 99%

ICDAR 2009 Book Structure Extraction Competition

Doucet

Kazai

Dresevic³

et al. 2009

2009 10th International Conference on Document Analysis and Recognition

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This paper introduces the Book Structure Extraction competition run at ICDAR 2009. The goal of the competition is to evaluate and compare automatic techniques for deriving structure information from digitized books, which could then be used to aid navigation inside the books. More specifically, the task that participants are faced with is to construct hyperlinked tables of contents for a collection of 1,000 digitized books. This paper describes the setup of the competition, the book collection used in the task, and the proposed measures for the evaluation. Results of the evaluation will be presented at the ICDAR 2009 conference and will be published in the INEX 2009 proceedings.

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Overview of the INEX 2007 Book Search Track (BookSearch’07)

Abstract: Abstract. This paper provides an overview of the newly launched Book

Cited by 9 publications

References 8 publications

Predicting web searcher satisfaction with existing community-based answers

Predicting web searcher satisfaction with existing community-based answers

XML Information Retrieval

ICDAR 2009 Book Structure Extraction Competition

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