Cathal Gurrin's Advances in Information Retrieval: 32nd European Conference PDF

By Cathal Gurrin

ISBN-10: 3642122752

ISBN-13: 9783642122750

These complaints include the papers offered at ECIR 2010, the thirty second european- pean convention on details Retrieval. The convention used to be organizedby the information Media Institute (KMi), the Open collage, in co-operation with Dublin urban college and the college of Essex, and used to be supported via the data Retrieval professional crew of the British computing device Society (BCS- IRSG) and the detailed curiosity workforce on details 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 US (15%), Asia and Australia (28%), center East and Africa (3%). All submitted papers have been reviewed by way 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 determined to run ECIR 2010 as a single-track occasion. for that 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 structure. The presentation layout doesn't characterize any di?erence in caliber. in its place, the presentation layout was once made up our minds after the entire papers have been authorized on the application 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 resources for Advances in Information Retrieval: 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010.Proceedings

Sample text

To assemble a query workload that captures users’ interests and preferences, we ran two user studies on Amazon Mechanical Turk (AMT). In our first study, workers were provided with an entity related to one of the topics Sports, Culture, Technology, or World Affairs and asked to specify a temporal expression that fits the given entity. In our second study, users were shown a temporal expression corresponding to a Day, Month, Year, Decade, or Century and asked to add an entity related to one of the aforementioned topics.

In these Figures we are studying the similarity between a very short text, the anchor Analyzing Information Retrieval Methods to Recover Broken Web Links 33 Fig. 3. Results of different approaches (Cosine, Dice, Tanimoto and Kullback-Liebler Divergence) applied to measure the similarity between: (i) the Anchor Text of the broken link and the Title of the candidate page, (ii) the Anchor Text of the broken link and the Content of the candidate page, (iii) the Content of the page where is the broken link and the Content of the candidate page, and (iv) the Content of the Cache page of the broken link and the Content of the candidate page.

In our second study, users were shown a temporal expression corresponding to a Day, Month, Year, Decade, or Century and asked to add an entity related to one of the aforementioned topics. Among the queries obtained from our user studies, we selected the 40 queries shown in Figure 2. Queries are categorized according to their topic and temporal granularity, giving us a total of 20 query categories, each of which contains two queries. Relevance Assessments were also collected using AMT. We computed top-10 query results for each query and each method configuration under comparison, pooled them, yielding a total of 1, 251 query-document pairs.

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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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