Annual review of information science and technology, vol. 22
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Coefficients of combining concept classes in a collection
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Retrieving documents by plausible inference: an experimental study
Information Processing and Management: an International Journal
Information retrieval
The effect multiple query representations on information retrieval system performance
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The effectiveness of document neighboring in search enhancement
Information Processing and Management: an International Journal
Modelling of user preferences and needs in Boolean retrieval systems
Information Processing and Management: an International Journal
The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Adapting a full-text information retrieval system to the computer troubleshooting domain
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Large test collection experiments on an operational, interactive system: Okapi at TREC
TREC-2 Proceedings of the second conference on Text retrieval conference
The use of semantic links in hypertext information retrieval
Information Processing and Management: an International Journal
Optimization of relevance feedback weights
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
An extended vector-processing scheme for searching information in hypertext systems
Information Processing and Management: an International Journal
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Ranking schemes in hybrid Boolean systems: a new approach
Journal of the American Society for Information Science
Improving automatic query expansion
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
Finding information on the World Wide Web: the retrieval effectiveness of search engines
Information Processing and Management: an International Journal
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
Towards an adaptive and task-specific ranking mechanism in Web searching (poster session)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
An efficient algorithm to rank Web resources
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Extended Boolean information retrieval
Communications of the ACM
Information retrieval on the web
ACM Computing Surveys (CSUR)
Evaluating combinations of ranked lists and visualizations of inter-document similarity
Information Processing and Management: an International Journal - Special issue on interactivity at the text retrieval conference (TREC)
Document ranking based upon Markov chains
Information Processing and Management: an International Journal
Communications of the ACM
When experts agree: using non-affiliated experts to rank popular topics
ACM Transactions on Information Systems (TOIS)
PageRate: counting Web users' votes
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Modern Information Retrieval
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Measuring Search Engine Quality
Information Retrieval
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Using User Profiles in Intelligent Information Retrieval
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Ontology Based Personalized Search
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
Searching the Web: general and scientific information access
IEEE Communications Magazine
Chinese information retrieval based on terms and relevant terms
ACM Transactions on Asian Language Information Processing (TALIP)
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
Document re-ranking using cluster validation and label propagation
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Efficiently finding web services using a clustering semantic approach
Proceedings of the 2008 international workshop on Context enabled source and service selection, integration and adaptation: organized with the 17th International World Wide Web Conference (WWW 2008)
Clusters, language models, and ad hoc information retrieval
ACM Transactions on Information Systems (TOIS)
Re-ranking search results using language models of query-specific clusters
Information Retrieval
Re-ranking Documents Based on Query-Independent Document Specificity
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
PageRank without hyperlinks: Structural reranking using links induced by language models
ACM Transactions on Information Systems (TOIS)
Utilizing inter-passage and inter-document similarities for reranking search results
ACM Transactions on Information Systems (TOIS)
Expert Systems with Applications: An International Journal
An expansion and reranking approach for annotation-based image retrieval from Web
Expert Systems with Applications: An International Journal
Re-ranking search results using an additional retrieved list
Information Retrieval
From "identical" to "similar": fusing retrieved lists based on inter-document similarities
Journal of Artificial Intelligence Research
The opposite of smoothing: a language model approach to ranking query-specific document clusters
Journal of Artificial Intelligence Research
Chinese document re-ranking based on term distribution and maximal marginal relevance
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
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Lately there has been intensive research into the possibilities of using additional information about documents (such as hyperlinks) to improve retrieval effectiveness. It is called data fusion, based on the intuitive principle that different document and query representations or different methods lead to a better estimation of the documents' relevance scores.In this paper we propose a new method of document re-ranking that enables us to improve document scores using inter-document relationships. These relationships are expressed by distances and can be obtained from the text, hyperlinks or other information. The method formalizes the intuition that strongly related documents should not be assigned very different weights.