Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
ESTER: efficient search on text, entities, and relations
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Query suggestion based on user landing pages
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 2008 ACM symposium on Applied computing
Overview of the INEX 2007 Entity Ranking Track
Focused Access to XML Documents
Semantically Enhanced Entity Ranking
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
A Model for Ranking Entities and Its Application to Wikipedia
LA-WEB '08 Proceedings of the 2008 Latin American Web Conference
Named entity recognition in query
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Exploiting locality of Wikipedia links in entity ranking
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Category-based query modeling for entity search
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Ranking class labels using query sessions
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Exploiting user clicks for automatic seed set generation for entity matching
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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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.