Ralf Krestel

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ECDL 10

Ranking Entities Using Web Search Query Logs

Abstract

Searching for entities is an emerging task in Information Retrieval for which the goal is finding well defined entities instead of documents matching the query terms. In this paper we propose a novel approach to Entity Retrieval by using Web search engine query logs. We use Markov random walks on (1) Click Graphs - built from clickthrough data - and on (2) Session Graphs - built from user session information. We thus provide semantic bridges between different query terms, and therefore indicate meaningful connections between Entity Retrieval queries and related entities.

Full Paper

ECDL10.pdf

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ECDL 2010

BibTex Entry

@InProceedings{krestel-ecdl10, author = {Bodo Billerbeck and Gianluca Demartini and Claudiu S. Firan and Tereza Iofciu and Ralf Krestel}, title = {{Ranking Entities Using Web Search Query Logs}}, booktitle = {Research and Advanced Technology for Digital Libraries --- 14th European Conference (ECDL), Proceedings}, pages = {273--281}, location = {Glasgow, UK}, month = {September 6--10}, year = {2010}, ee = {http://dx.doi.org/10.1007/978-3-642-15464-5_28}, series = {Lecture Notes in Computer Science}, volume = {6273}, isbn = {978-3-642-15463-8}, publisher = {Springer} }