By Cathal Gurrin
These lawsuits comprise the papers provided at ECIR 2010, the thirty second ecu- pean convention on details Retrieval. The convention was once organizedby the data Media Institute (KMi), the Open collage, in co-operation with Dublin urban collage and the college of Essex, and was once supported through the data Retrieval professional team of the British machine Society (BCS- IRSG) and the designated 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 got 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 by means of 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 made up our minds to run ECIR 2010 as a single-track occasion. consequently we determined to have presentation codecs for complete papers. a few of them have been provided orally, the others in poster structure. The presentation structure doesn't characterize any di?erence in caliber. in its place, the presentation layout used to be determined after the total papers have been permitted on the software Committee assembly held on the college of Essex. The perspectives of the reviewers have been then considered to choose the main applicable presentation structure 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
34 7 J. Martinez-Romo and L. Araujo Algorithm for Automatic Recovery of Links The results of the analysis described in the previous sections suggest several criteria to decide for which cases there is enough information to try the retrieval of the link and which sources of information to use. According to them, we propose the recovery process which appears in Figure 4. First of all, it is checked whether the anchor number of terms is just one (length(anchor) = 1) and whether it does not contain named entities (NoNE(anchor)).
The ﬁrst one is the raw term frequency (TF) in the parent or cache page. There are some terms with very little or no discriminating power as descriptors of the page, despite they are frequent on it. The reason is that those terms are also frequent in many other documents of the considered collection. To take into account these cases, we apply the well-known Tf-Idf weighting scheme for a term, where Idf (t) is the inverse document frequency of that term. A dump of English Wikipedia articles1 has been used as reference collection.
1. Scheme of the system for automatic recovering of broken links links in order to determine which ones are the most useful sources of information and which of them are the most appropriate in each case. Sometimes we can recover a broken link by entering the anchor text as an user query in a search engine. There are many works which have analyzed the importance of the anchor text and title like a source of information. However, there are many cases in which the anchor text does not contain enough information to do that.
Advances in Information Retrieval: 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings by Cathal Gurrin