By Cathal Gurrin
These court cases comprise the papers offered at ECIR 2010, the thirty second european- pean convention on details Retrieval. The convention was once 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 data Retrieval expert team of the British computing device Society (BCS- IRSG) and the certain curiosity team on info Retrieval (ACM SIGIR). It was once 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 USA (15%), Asia and Australia (28%), center East and Africa (3%). All submitted papers have been reviewed through at leastthreemembersoftheinternationalProgramCommittee.Outofthe202- pers forty four have been chosen asfull researchpapers. ECIR has alwaysbeen a convention with a powerful scholar concentration. to permit as a lot interplay among delegates as attainable and to maintain within the spirit of the convention we determined 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 offered orally, the others in poster structure. The presentation structure doesn't signify any di?erence in caliber. as a substitute, the presentation layout used to be determined after the whole papers have been approved on the application Committee assembly held on the collage of Essex. The perspectives of the reviewers have been then considered to choose the main applicable presentation layout for every paper.
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Additional resources for Advances in Information Retrieval: 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings
Since the time interval is not necessarily known exactly, we hence capture lower and upper bounds for A Language Modeling Approach for Temporal Information Needs 15 its boundaries. To give a concrete example, the temporal expression “in 1998” from the introduction is represented as ( 1998/01/01, 1998/12/31, 1998/01/01, 1998/12/31 ) . This representation thus captures the uncertainty inherent to many temporal expressions – a temporal expression T can refer to any time interval [b, e] having a begin point b ∈ [ tbl , tbu ] and an end point e ∈ [ tel , teu ] along with the constraint b ≤ e.
Text, and other short text which is the title of the candidate page (Figure 3(i)) or the parent page content (Figure 3(ii)). On the contrary, KLD performs better than the cooccurrence measures in Figure 3(iii) and Figure 3(iv), where we are measuring the similarity between the content of two pages; the parent or the cache page, and the candidate page. Thus, we can conclude that KLD performs better that the cooccurrence methods only if it is applied to texts long enough, such as the content of a page.
Having no further information, our model assumes equal likelihood for all possible time intervals that Q and T respectively can refer to. This deﬁnition meets our three requirements deﬁned above2 . Eﬃcient Computation. For the practical applicability of this model, one important issue that needs addressing is the eﬃcient evaluation of (9). Na¨ıvely enumerating all time intervals that T and Q can refer to, before computing |T ∩ Q| is clearly not a practical solution. Consider again the temporal expression ( 1998/01/01, 1998/12/31, 1998/01/01, 1998/12/31 ).
Advances in Information Retrieval: 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings by Cathal Gurrin