Approaches to passage retrieval in full text information systems
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Subtopic structuring for full-length document access
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Passage-level evidence in document retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Document and passage retrieval based on hidden Markov models
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Matrix computations (3rd ed.)
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Effective ranking with arbitrary passages
Journal of the American Society for Information Science and Technology
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
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Passage retrieval based on language models
Proceedings of the eleventh international conference on Information and knowledge management
ECDL '97 Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
Cluster-based retrieval using language models
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
PageRank without hyperlinks: structural re-ranking using links induced by language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Improving web search results using affinity graph
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Re-ranking method based on inter-document distances
Information Processing and Management: an International Journal
A generative theory of relevance
A generative theory of relevance
Regularizing ad hoc retrieval scores
Proceedings of the 14th ACM international conference on Information and knowledge management
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving the estimation of relevance models using large external corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Document re-ranking using cluster validation and label propagation
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Graph-based ranking algorithms for sentence extraction, applied to text summarization
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
A translation model for sentence retrieval
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Using random walks for question-focused sentence retrieval
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Language model-based document clustering using random walks
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Inter-document similarities, language models, and ad hoc information retrieval
Inter-document similarities, language models, and ad hoc information retrieval
Relevance models for topic detection and tracking
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Towards a unified approach to document similarity search using manifold-ranking of blocks
Information Processing and Management: an International Journal
The opposite of smoothing: a language model approach to ranking query-specific document clusters
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Discriminative probabilistic models for passage based retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A general optimization framework for smoothing language models on graph structures
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Re-ranking search results using document-passage graphs
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Utilizing inter-passage and inter-document similarities for re-ranking search results
Proceedings of the 18th ACM conference on Information and knowledge management
Completely-arbitrary passage retrieval in language modeling approach
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Utilizing passage-based language models for document retrieval
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Evaluating text representations for retrieval of the best group of documents
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Utilizing minimal relevance feedback for ad hoc retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
From "identical" to "similar": fusing retrieved lists based on inter-document similarities
Journal of Artificial Intelligence Research
Improving passage ranking with user behavior information
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Enhancement of passage scorers by proximity-based term occurrence weighting
International Journal of Intelligent Information and Database Systems
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We present a novel language-model-based approach to reranking search results; that is, reordering the documents in an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information with that induced from passages. Specifically, inter-passage, inter-document, and query-based similarities, which constitute a rich source of information, are combined in our model. Empirical evaluation shows that the precision-at-top-ranks performance of our model is substantially better than that of the initial ranking upon which reranking is performed. Furthermore, the performance is substantially better than that of a commonly used passage-based document ranking method that does not exploit inter-item similarities. Our model also generalizes and outperforms a recently proposed reranking method that utilizes inter-document similarities, but which does not exploit passage-based information. Finally, the model's performance is superior to that of a state-of-the-art pseudo-feedback-based retrieval approach.