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Social Book Search with Pseudo-Relevance Feedback
2014Massive books with social information, e.g. reviews, rates and tags, have emerged in large numbers on the web. However, there are several limitations in traditional search methods for social books, as social books include complicated and various social information.
Bin Geng +5 more
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An incremental approach to efficient pseudo-relevance feedback
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013Pseudo-relevance feedback is an important strategy to improve search accuracy. It is often implemented as a two-round retrieval process: the first round is to retrieve an initial set of documents relevant to an original query, and the second round is to retrieve final retrieval results using the original query expanded with terms selected from the ...
Hao Wu, Hui Fang
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Temporal Pseudo-relevance Feedback in Microblog Retrieval
2012Twitter has become a major outlet for news, discussion and commentary of on-going events and trends. Effective searching of Twitter collections poses a number of issues for traditional document-based information retrieval (IR) approaches, such as limited document term statistics and spam.
Stewart Whiting +2 more
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Exploring Pseudo-Relevance Feedback for Microblog Search
2014This study explored the effectiveness of a classical information retrieval (IR) approach, pseudo-relevance feedback (PRF), on improving the performance of microblog search. Factors including number of PRF iterations, term selection strategy, term weighting scheme and use of user-generated metadata were examined in order to shed light on their influence
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Learning-Based Pseudo-Relevance Feedback for Patent Retrieval
2012Pseudo-relevance feedback (PRF) is an effective approach in Information Retrieval but unfortunately many experiments have shown that PRF is ineffective in patent retrieval. This is because the quality of initial results in the patent retrieval is poor and therefore estimating a relevance model via PRF often hurts the retrieval performance due to off ...
Parvaz Mahdabi, Fabio Crestani
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Selecting good expansion terms for pseudo-relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 2008Pseudo-relevance feedback assumes that most frequent terms in the pseudo-feedback documents are useful for the retrieval. In this study, we re-examine this assumption and show that it does not hold in reality - many expansion terms identified in traditional approaches are indeed unrelated to the query and harmful to the retrieval.
Guihong Cao +3 more
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Query expansion using pseudo relevance feedback on wikipedia
Journal of Intelligent Information Systems, 2017One of the major challenges in Web search pertains to the correct interpretation of users’ intent. Query Expansion is one of the well-known approaches for determining the intent of the user by addressing the vocabulary mismatch problem. A limitation of the current query expansion approaches is that the relations between the query terms and the expanded
Andisheh Keikha +2 more
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Verbosity normalized pseudo-relevance feedback in information retrieval
Information Processing & Management, 2018Abstract Document length normalization is one of the fundamental components in a retrieval model because term frequencies can readily be increased in long documents. The key hypotheses in literature regarding document length normalization are the verbosity and scope hypotheses, which imply that document length normalization should consider the ...
Seung-Hoon Na, Kangil Kim
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Why Web-Based Pseudo Relevance Feedback Systems Fail
2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems, 2012We review pseudo-relevance feedback as a mechanism for expanding short texts. Where short texts exhibit evolving concepts, topics and other characteristics, Web-based feedback systems were touted as the most ideal way of enriching the feature space of short texts.
Jing Zhang +2 more
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Pseudo Relevance Feedback Using Fast XML Retrieval
2009This paper reports the result of experimentation of our approach using the vector space model for retrieving large-scale XML data. The purposes of the experiments are to improve retrieval precision on the INitiative for the Evaluation of XML Retrieval (INEX) 2008 Adhoc Track, and to compare the retrieval time of our system to other systems on the INEX ...
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