Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Communications of the ACM
Document normalization revisited
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Evolving local and global weighting schemes in information retrieval
Information Retrieval
Adapting pivoted document-length normalization for query size: Experiments in Chinese and English
ACM Transactions on Asian Language Information Processing (TALIP)
Evolved term-weighting schemes in Information Retrieval: an analysis of the solution space
Artificial Intelligence Review
A constraint to automatically regulate document-length normalisation
Proceedings of the 21st ACM international conference on Information and knowledge management
| Hi-index | 0.00 |
Document length normalisation is known to be a difficult problem in IR, as tuning is often needed to overcome the collection dependence problem known to affect many normalisation schemes. Furthermore, it has been shown in various studies that the most optimal level of normalisation to apply is correlated with query length. In this paper, we confirm this correlation and present experiments which investigates and explains the effect of query length on normalisation.