By Cathal Gurrin
These court cases include the papers provided at ECIR 2010, the thirty second ecu- pean convention on info Retrieval. The convention was once organizedby the data Media Institute (KMi), the Open college, in co-operation with Dublin urban college and the college of Essex, and used to be supported by way of the data Retrieval professional team of the British laptop 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 bought 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%), heart 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 powerful pupil 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 determined to have presentation codecs for complete papers. a few of them have been offered orally, the others in poster layout. The presentation layout doesn't characterize any di?erence in caliber. as an alternative, the presentation layout was once made up our minds after the complete papers were authorised on the application Committee assembly held on the college of Essex. The perspectives of the reviewers have been then considered to pick the main applicable 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
There exist several validators to check the broken links of our pages. However, once we have detected a broken link, it is not always easy nor fast to ﬁnd again the disappeared page. In this work, we try to analyze the recovery of broken links as an information retrieval problem for building an user recommendation system. In the same way that an user query to a search engine to ﬁnd a Web page with the information he needs, our system captures all data related to the broken link context in order to ﬁnd a new page that containing information similar to the missing one.
In the case of the parent page (Figure 2(i)) the frequency method performs slightly better than Tf-Idf, whereas for the cache page (Figure 2(ii)) it is the opposite. We can observe that when we use KLD, the results obtained with the Wikipedia as reference collection are better (the total number of correct recovered pages). The reason is probably that this collection provides a wider range of topics. Another important observation is that for extracting terms from the parent page, the results obtained with the methods based on frequencies are higher than KLD.
It aims at searching information that refers to the future. The proposed retrieval model is focused on conﬁdences associated with statements about the future, thus favoring relevant documents that are conﬁdent about their predictions regarding a future time of interest. Kalczynski et al.  study the human perception of temporal expressions and propose a retrieval model for business news archives that takes into account temporal expressions. Arikan et al.  integrate temporal expressions into a language modeling approach but ignore the aspect of uncertainty.