Query evaluation: strategies and optimizations
Information Processing and Management: an International Journal
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
ACM SIGIR Forum
Static index pruning for information retrieval systems
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Compression and Coding Algorithms
Compression and Coding Algorithms
Efficient phrase querying with an auxiliary index
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Improving Web search efficiency via a locality based static pruning method
WWW '05 Proceedings of the 14th international conference on World Wide Web
Using term informativeness for named entity detection
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Current research issues and trends in non-English Web searching
Information Retrieval
Entropy-Based Static Index Pruning
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Probabilistic static pruning of inverted files
ACM Transactions on Information Systems (TOIS)
Entry Pairing in Inverted File
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Term frequency quantization for compressing an inverted index
AMT'10 Proceedings of the 6th international conference on Active media technology
ACM Transactions on Information Systems (TOIS)
Information preservation in static index pruning
Proceedings of the 21st ACM international conference on Information and knowledge management
An information-theoretic account of static index pruning
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
| Hi-index | 0.00 |
This paper addresses the problem of identifying collection dependent stop-words in order to reduce the size of inverted files. We present four methods to automatically recognise stop-words, analyse the tradeoff between efficiency and effectiveness, and compare them with a previous pruning approach. The experiments allow us to conclude that in some situations stop-words pruning is competitive with respect to other inverted file reduction techniques.