On the use of spreading activation methods in automatic information
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
Large test collection experiments on an operational, interactive system: Okapi at TREC
TREC-2 Proceedings of the second conference on Text retrieval conference
Information Retrieval
A frequency-based and a poisson-based definition of the probability of being informative
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Parsimonious language models for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A general matrix framework for modelling Information Retrieval
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
A parallel derivation of probabilistic information retrieval models
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
IDF revisited: a simple new derivation within the Robertson-Spärck Jones probabilistic model
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Interpreting TF-IDF term weights as making relevance decisions
ACM Transactions on Information Systems (TOIS)
TF-IDF uncovered: a study of theories and probabilities
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
CyberIR --- A Technological Approach to Fight Cybercrime
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Generalized inverse document frequency
Proceedings of the 17th ACM conference on Information and knowledge management
Risk-Aware Information Retrieval
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Entropy-biased models for query representation on the click graph
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Improvements that don't add up: ad-hoc retrieval results since 1998
Proceedings of the 18th ACM conference on Information and knowledge management
IR models: foundations and relationships
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
IR Models: Foundations and Relationships
Proceedings of the 2013 Conference on the Theory of Information Retrieval
| Hi-index | 0.00 |
When investigating alternative estimates for term discriminativeness, we discovered that relevance information and idf are much closer related than formulated in classical literature. Therefore, we revisited the justification of idf as it follows from the binary independent retrieval (BIR) model. The main result is a formal framework uncovering the close relationship of a generalised idf and the BIR model. The framework makes explicit how to incorporate relevance information into any retrieval function that involves an idf-component.In addition to the idf-based formulation of the BIR model, we propose Poisson-based estimates as an alternative to the classical estimates, this being motivated by the superiority of Poisson-based estimates for the within-document term frequencies. The main experimental finding is that a Poisson-based idf is superior to the classical idf, where the superiority is particularly evident for long queries.