A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
The Probabilistic Relevance Framework: BM25 and Beyond
Foundations and Trends in Information Retrieval
Information-based models for ad hoc IR
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Retrieval constraints and word frequency distributions a log-logistic model for IR
Information Retrieval
A log-logistic model-based interpretation of TF normalization of BM25
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
| Hi-index | 0.00 |
In this paper we explore various methods to estimate the collection parameter of the information based models for ad hoc information retrieval. In previous studies, this parameter was set to the average number of documents where the word under consideration appears. We introduce here a fully formalized estimation method for both the log-logistic and the smoothed power law models that leads to improved versions of these models in IR. Furthermore, we show that the previous setting of the collection parameter of the log-logistic model is a special case of the estimated value proposed here.