Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using random walk models
Proceedings of the 14th ACM international conference on Information and knowledge management
Random walk term weighting for information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Personalizing PageRank for word sense disambiguation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Random walks for text semantic similarity
TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing
Positional relevance model for pseudo-relevance feedback
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
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In this article, we apply a graph-based approach for pseudo-relevance feedback. We model term co-occurrences in a fixed window or at the document level as a graph and apply a random walk algorithm to select expansion terms. Evaluation of the proposed approach on several standard TREC and CLEF collections including the recent TREC-Microblog dataset show that this approach is in line with state-of-the-art pseudo-relevance feedback models.