Software—Practice & Experience
A comparison of text retrieval models
The Computer Journal - Special issue on information retrieval
Fast text searching: allowing errors
Communications of the ACM
Overview of the second text retrieval conference (TREC-2)
TREC-2 Proceedings of the second conference on Text retrieval conference
TREC-2 Proceedings of the second conference on Text retrieval conference
Exploring the similarity space
ACM SIGIR Forum
Effective document presentation with a locality-based similarity heuristic
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Fast algorithms for sorting and searching strings
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
A fast string searching algorithm
Communications of the ACM
Information Retrieval: Computational and Theoretical Aspects
Information Retrieval: Computational and Theoretical Aspects
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Inverted files for text search engines
ACM Computing Surveys (CSUR)
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We present a software tool called seft which balances the convenience of search tools such as grep with the functionality of full-text index-based information retrieval. Based on a novel retrieval heuristic which uses term locality as a guide to relevance, seft combines the freedom of natural language queries with the benefits of a ranked answer list and easy inspection of retrieval results. While not as fast as grep-style tools, seft provides a valuable facility for impromptu personal information retrieval tasks.