A probabilistic theory of indexing and similarity measure based on cited and citing documents
Journal of the American Society for Information Science
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
Experiments with document components for indexing and retrieval
Information Processing and Management: an International Journal
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
A framework for effective retrieval
ACM Transactions on Database Systems (TODS)
Optimum polynomial retrieval functions based on the probability ranking principle
ACM Transactions on Information Systems (TOIS)
A neural network for probabilistic information retrieval
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieving documents by plausible inference: an experimental study
Information Processing and Management: an International Journal
A probability distribution model for information retrieval
Information Processing and Management: an International Journal - Modeling data, information and knowledge
Models for retrieval with probabilistic indexing
Information Processing and Management: an International Journal - Modeling data, information and knowledge
Term clustering of syntactic phrases
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
An interpretation of index term weighting schemes based on document components
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
Precision Weighting—An Effective Automatic Indexing Method
Journal of the ACM (JACM)
Operations Research Applied to Document Indexing and Retrieval Decisions
Journal of the ACM (JACM)
On the Construction of Feedback Queries
Journal of the ACM (JACM)
Probabilistic models of indexing and searching
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Query modification and expansion in a network with adaptive architecture
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Towards a probabilistic modal logic for semantic-based information retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
A network approach to probabilistic information retrieval
ACM Transactions on Information Systems (TOIS)
A comparison of classifiers and document representations for the routing problem
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Cluster-based text categorization: a comparison of category search strategies
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
A new method of weighting query terms for ad-hoc retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Comparing representations in Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
A unified maximum likelihood approach to document retrieval
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Improving English and Chinese Ad-Hoc Retrieval: A Tipster Text Phase 3 Project Report
Information Retrieval
Information Access Based on Associative Calculation
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Learning from relevant documents in large scale routing retrieval
HLT '94 Proceedings of the workshop on Human Language Technology
Is 1 noun worth 2 adjectives?: measuring relative feature utility
Information Processing and Management: an International Journal
A supervised learning approach to search of definitions
Journal of Computer Science and Technology - Special section on China AVS standard
Percent perfect performance (PPP)
Information Processing and Management: an International Journal
Hierarchical Bayesian clustering for automatic text classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
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A component theory of information retrieval using single content terms as component for queries and documents was reviewed and experimented with. The theory has the advantages of being able to (1) bootstrap itself, that is, define initial term weights naturally based on the fact that items are self relevent; (2) make use of within-item term frequencies; (3) account for query-focused and document-focused indexing and retrieval strategies cooperatively; and (4) allow for component-specific feedback if such information is available. Retrieval results with four collections support the effectiveness of all the first three aspects, except for predictive retrieval. At the initial indexing stage, the retrieval theory performed much more consistantly across collections than croft's model and provided results comparable to Salton's tf*idf approach. An inverse collection term frequency (ICTF) formula was also tested that performed much better than the inverse document frequency (IDF). With full feedback retrospective retrieval, the component theory performed substantially better than Croft's, because of the highly specific nature of document-focused feedback. Repetitive retireval results with partial relevance feedback mirrored those for the retrospective. However, for the important case of predictive retrieval using residual ranking, results were not unequivocal.