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.
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ECDL 2010
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