Adapting Document Ranking to Users’ Preferences Using Click-Through Data

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/11880592_3 ◽

2006 ◽

pp. 26-42 ◽

Cited By ~ 2

Author(s):

Min Zhao ◽

Hang Li ◽

Adwait Ratnaparkhi ◽

Hsiao-Wuen Hon ◽

Jue Wang

Keyword(s):

Document Ranking

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Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation

Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ◽

10.1145/3404835.3463076 ◽

2021 ◽

Author(s):

Jaekeol Choi ◽

Euna Jung ◽

Jangwon Suh ◽

Wonjong Rhee

Keyword(s):

Document Ranking ◽

Ranking Models

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An Efficient Pairwise Comparison Scheme for Document Ranking

2020 28th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu49456.2020.9302078 ◽

2020 ◽

Author(s):

Can Ozbey ◽

Ozge Dincsoy

Keyword(s):

Pairwise Comparison ◽

Document Ranking

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Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search

ACM Transactions on Intelligent Systems and Technology ◽

10.1145/3396501 ◽

2020 ◽

Vol 11 (5) ◽

pp. 1-24

Author(s):

Jizhou Huang ◽

Haifeng Wang ◽

Wei Zhang ◽

Ting Liu

Keyword(s):

Web Search ◽

Document Ranking ◽

Task Learning

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The influence of the document ranking in expert search

Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09 ◽

10.1145/1645953.1646282 ◽

2009 ◽

Cited By ~ 1

Author(s):

Craig Macdonald ◽

Iadh Ounis

Keyword(s):

Document Ranking ◽

Expert Search

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Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering

Proceedings of the 2011 SIAM International Conference on Data Mining ◽

10.1137/1.9781611972818.37 ◽

2011 ◽

Cited By ~ 3

Author(s):

Tran The Truyen ◽

Dinh Q. Phung ◽

Svetha Venkatesh

Keyword(s):

Collaborative Filtering ◽

Probabilistic Models ◽

Document Ranking

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Ontology based Similarity Measure in Document Ranking

International Journal of Computer Applications ◽

10.5120/469-774 ◽

2010 ◽

Vol 1 (26) ◽

pp. 135-139 ◽

Cited By ~ 1

Author(s):

U.K Sridevi. ◽

N Nagaveni.

Keyword(s):

Similarity Measure ◽

Document Ranking

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A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13470-8_17 ◽

2010 ◽

pp. 171-182 ◽

Cited By ~ 17

Author(s):

Mariam Daoud ◽

Lynda Tamine ◽

Mohand Boughanem

Keyword(s):

User Profile ◽

Document Ranking ◽

Ranking Model

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Refining Aggregation Functions for Improving Document Ranking in Information Retrieval

Lecture Notes in Computer Science - Scalable Uncertainty Management ◽

10.1007/978-3-540-75410-7_19 ◽

2007 ◽

pp. 255-267 ◽

Cited By ~ 4

Author(s):

Mohand Boughanem ◽

Yannick Loiseau ◽

Henri Prade

Keyword(s):

Information Retrieval ◽

Document Ranking ◽

Aggregation Functions

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Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_46 ◽

2011 ◽

pp. 371-378 ◽

Cited By ~ 3

Author(s):

Hiroshi Okamoto

Keyword(s):

Network Analysis ◽

Memory Retrieval ◽

Citation Network ◽

Document Ranking ◽

Citation Network Analysis ◽

The Brain

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Document Ranking Methodology for Conventional Boolean Retrieval Systems

Empirical Foundations of Information and Software Science ◽

10.1007/978-1-4613-2521-5_22 ◽

1985 ◽

pp. 265-272

Author(s):

Tadeusz Radecki

Keyword(s):

Document Ranking ◽

Retrieval Systems

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