Download Advances in Information Retrieval: 34th European Conference by Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo PDF

By Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo Baeza-Yates, Arjen P. de Vries, Hugo Zaragoza, B. Barla Cambazoglu, Vanessa Murdock, Ronny Lempel, Fabrizio Silvestri (eds.)

ISBN-10: 3642289967

ISBN-13: 9783642289965

ISBN-10: 3642289975

ISBN-13: 9783642289972

This publication constitutes the court cases of the thirty fourth ecu convention on IR learn, ECIR 2012, held in Barcelona, Spain, in April 2012. The 37 complete papers, 28 poster papers and seven demonstrations awarded during this quantity have been conscientiously reviewed and chosen from 167 submissions. The contributions are equipped in sections named: question illustration; blogs and online-community seek; semi-structured retrieval; overview; purposes; retrieval versions; photograph and video retrieval; textual content and content material class, categorisation, clustering; structures potency; tune; and posters.

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Template ticketmaster dallas mavericks ticketmaster mavericks ticketmaster miami heat ticketmaster portland trailblazers ticketmaster ... 6 ... Note that the second template is, in this case, equivalent to the first. It trivially generalizes it, but in practice no other city is mentioned with “mavericks”. The cumulative click-through rate and recall values for the respective prefixes of this model, from left to right, are: 20 E. Bortnikov et al. 37 . . 6 . .

In: Proc. 20th International World Wide Web Conference, WWW 2011 (2011) Exploring Query Patterns in Email Search Morgan Harvey and David Elsweiler 1 Dept. uk 2 Abstract. Despite Email being the most popular communication medium currently in use and that people have been shown to regularly re-use messages, very little is known about how people actually search within email clients. In this paper we present a detailed analysis of email search behaviour obtained from a study of 47 users. We uncover a number of behavioral patterns that contrast with those previously observed in web search.

Freeman and Company, New York (1979) 6. : Exploring features for the automatic identification of user goals in web search. Information Processing and Management 46(2), 131–142 (2010) 7. : Determining the informational, navigational, and transactional intent of web queries. Inf. Process. Manage. 44, 1251–1266 (2008) 8. : Transactional Query Identification in Web Search. -H. ) AIRS 2005. LNCS, vol. 3689, pp. 221– 232. Springer, Heidelberg (2005) 9. : Automatic identification of user goals in web search.

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Advances in Information Retrieval: 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings by Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo Baeza-Yates, Arjen P. de Vries, Hugo Zaragoza, B. Barla Cambazoglu, Vanessa Murdock, Ronny Lempel, Fabrizio Silvestri (eds.)


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