A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Evaluation of the 2-Poisson model as a basis for using term frequency data in searching
SIGIR '83 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Probabilistic search term weighting - some negative results
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Random and best-first document selection models
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
A framework for effective retrieval
ACM Transactions on Database Systems (TODS)
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Probabilistic document retrieval systems consistent with the two Poisson independence model outperforms the binary independence model if the terms are distributed as described by the model's assumptions. The Two Poisson Effectiveness Hypothesis suggests that retrieval models based upon the two Poisson model will outperform binary independent models when used on a “real-world” database, where independence and two Poisson term occurrence distributions fail to hold, because the added information obtained from incorporating term frequency information will more than compensate for the non-Poisson distributions of terms. Searches of the MED1033 database suggest that if terms are not independent and frequencies of term occurrence are not distributed in a two Poisson manner, the binary independence sequential retrieval model outperforms the two Poisson independence retrieval model.