Paper Info
Title
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.
Year
DOI
Venue
2010
10.1007/978-3-642-15464-5_28
ECDL3
Keywords
Field
DocType
web search query log,novel approach,web search engine query,meaningful connection,different query term,entity retrieval,ranking entity,clickthrough data,query term,information retrieval,entity retrieval query,session graphs,web search engine
Web search engine,Query optimization,Web search query,Query language,World Wide Web,Information retrieval,Query expansion,Computer science,Web query classification,Ranking (information retrieval),Concept search
Conference
Volume
ISSN
ISBN
6273
0302-9743
3-642-15463-8
Citations 
PageRank 
References 
7
0.43
16
Authors
5
Name
Order
Citations
PageRank
Bodo Billerbeck127214.24
Gianluca Demartini274454.56
Claudiu S. Firan355926.71
Tereza Iofciu427017.20
Ralf Krestel539834.33