On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
On the Construction of Feedback Queries
Journal of the ACM (JACM)
Term Weighting in Information Retrieval Using the Term Precision Model
Journal of the ACM (JACM)
Algorithm 422: minimal spanning tree [H]
Communications of the ACM
Probabilistic models of indexing and searching
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Dynamic information and library processing
Dynamic information and library processing
Incomplete information costs and database design
ACM Transactions on Database Systems (TODS)
On modeling of information retrieval concepts in vector spaces
ACM Transactions on Database Systems (TODS)
Automatic phrase indexing for document retrieval
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Optimum probability estimation based on expectations
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Optimization of relevance feedback weights
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Generalized vector spaces model in information retrieval
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Induction of semantic classes from natural language text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Set-based model: a new approach for information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive Filtering of Newswire Stories using Two-Level Clustering
Information Retrieval
ACIRD: Intelligent Internet Document Organization and Retrieval
IEEE Transactions on Knowledge and Data Engineering
Adapting measures of clumping strength to assess term-term similarity
Journal of the American Society for Information Science and Technology
Set-based vector model: An efficient approach for correlation-based ranking
ACM Transactions on Information Systems (TOIS)
Effective and efficient classification on a search-engine model
Knowledge and Information Systems
Using visual-textual mutual information and entropy for inter-modal document indexing
ECIR'07 Proceedings of the 29th European conference on IR research
Text relatedness based on a word thesaurus
Journal of Artificial Intelligence Research
Enriching thesauri with hierarchical relationships by pattern matching in dictionaries
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Web Semantics: Science, Services and Agents on the World Wide Web
Query expansion with an automatically generated thesaurus
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
| Hi-index | 0.00 |
In Practical retrieval environments the assumption is normally made that the terms assigned to the documents of a collection occur independently of each other. The term independence assumption is unrealistic in many cases, but its use leads to a simple retrieval algorithm. More realistic retrieval systems take into account dependencies between certain term pairs and possibly between term triples. In this study, methods are outlined for generating dependency factors for term pairs and term triples and for using them in retrieval. Evaluation output is included to demonstrate the effectiveness of the suggested methodologies.