A two-stage mixture model for pseudo feedback

No abstract is available for this paper.

• Publication year

  2004

• Venue

  Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

• Publication date

  2004-07-25

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1145/1008992.1009083
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Mixture Clustering Model for Pseudo Feedback in Information Retrieval

  2004cited by this paper
• Document language models, query models, and risk minimization for information retrieval

  2001cited by this paper
• A general probabilistic framework for clustering individuals and objects

  2000cited by this paper

• Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach

  2017cites this paper
• Luhn Revisited: Significant Words Language Models

  2016influential citation
• A Two-Stage Ranking Scheme for Pseudo Relevance Feedback

  2016cites this paper
• Information filtering by multiple examples

  2015cites this paper
• Query Expansion Based on Mongolian Semantics

  2012cites this paper
• A Journal Paper Filtering Using the Multiple Information

  2011cites this paper
• PageRank without hyperlinks: Structural reranking using links induced by language models

  2010cites this paper
• A Journal Paper Filtering Using the Profile Revised by Patent Document Information

  2010cites this paper
• Towards context-aware search by learning a very large variable length hidden markov model from search logs

  2009cites this paper
• One-Class Clustering in the Text Domain

  2008cites this paper
• 著者・分野・用語の特性を利用した論文フィルタリング方式

  2008cites this paper
• Combinatorial markov random fields and their applications to information organization

  2008influential citation
• A new robust relevance model in the language model framework

  2008influential citation
• Enhancing Relevance Models with Adaptive Passage Retrieval

  2008cites this paper
• SEARCHING FOR EXPLANATORY WEB PAGES USING AUTOMATIC QUERY EXPANSION

  2007cites this paper
• Inter-Document Similiarities, Language Models, and Ad Hoc Information Retrieval

  2006cites this paper
• Robust relevance-based language models

  2006cites this paper
• MODELS, AND AD HOC INFORMATION RETRIEVAL

  2006cites this paper
• Improving the Robustness of Relevance-Based Language Models

  2005cites this paper
• PageRank without hyperlinks: structural re-ranking using links induced by language models

  2005cites this paper
• Better than the real thing?: iterative pseudo-query processing using cluster-based language models

  2005cites this paper