New PDF release: Advances in Information Retrieval: 32nd European Conference

February 2, 2018 | Data Mining | By admin | 0 Comments

By Cathal Gurrin

ISBN-10: 3642122752

ISBN-13: 9783642122750

These complaints include the papers provided at ECIR 2010, the thirty second european- pean convention on details Retrieval. The convention used to be organizedby the data Media Institute (KMi), the Open collage, in co-operation with Dublin urban college and the collage of Essex, and used to be supported through the knowledge Retrieval expert team of the British desktop Society (BCS- IRSG) and the detailed curiosity workforce on details Retrieval (ACM SIGIR). It used to be held in the course of March 28-31, 2010 in Milton Keynes, united kingdom. ECIR 2010 obtained a complete of 202 full-paper submissions from Continental Europe (40%), united kingdom (14%), North and South the United States (15%), Asia and Australia (28%), center East and Africa (3%). All submitted papers have been reviewed by means of at leastthreemembersoftheinternationalProgramCommittee.Outofthe202- pers forty four have been chosen asfull researchpapers. ECIR has alwaysbeen a convention with a robust scholar concentration. to permit as a lot interplay among delegates as attainable and to maintain within the spirit of the convention we made up our minds to run ECIR 2010 as a single-track occasion. for this reason we made up our minds to have presentation codecs for complete papers. a few of them have been awarded orally, the others in poster layout. The presentation structure doesn't symbolize any di?erence in caliber. in its place, the presentation structure used to be determined after the entire papers have been authorized on the software Committee assembly held on the college of Essex. The perspectives of the reviewers have been then considered to choose the main acceptable presentation layout for every paper.

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Additional info for Advances in Information Retrieval: 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings

Example text

The derivation of (10) is given in the appendix. Let Q = ( qbl , qbu , qel , qeu ) be a query temporal expression. Using (10) we can determine |Q|. For computing |Q ∩ T | notice that each time interval [b, e] ∈ Q ∩ T fulfills b ∈ [tbl , tbu ] ∩ [qbl , qbu ] and e ∈ [tel , teu ] ∩ [qel , qeu ]. Therefore, |T ∩ Q| can be computed by considering the temporal expression ( max(tbl , qbl ), min(tbu , qbu ), max(tel , qel ), min(teu , qeu ) ) . Thus, we have shown that the generative model underlying LmtU allows for efficient computation.

Process. Manage. : A language modeling approach to information retrieval. : Introduction to Information Retrieval. : A Language Modeling Approach for Temporal Information Needs. : Automating Temporal Annotation with TARSQI. : On the value of temporal information in information retrieval. : Time-based language models. : Answering general time sensitive queries. : Improving temporal language models for determining time of non-timestamped documents. In: ECDL (2008) [19] de Jong, F. : Temporal language models for the disclosure of historical text.

This technique requires the page text to be long enough. A clear example of utility of this information are the links to personal pages. The anchor of a link to a personal page is frequently formed by the name of that person. However, in many cases forename and surname do not identify a person in a unique way, specially if they are very common. If we perform a search using only the forename and the surname, the personal page of this person probably will not appear among the first pages retrieved.

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Advances in Information Retrieval: 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings by Cathal Gurrin

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