The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
An ordinal fuzzy linguistic Information Retrieval System (IRS) based on a multi-level weighting scheme to represent the user queries, in a more flexible way, is proposed. The IRS a...
This paper describes a method, using Genetic Programming, to automatically determine term weighting schemes for the vector space model. Based on a set of queries and their human de...
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
The Internet and corporate intranets provide far more information than anybody can absorb. People use search engines to find the information they require. However, these systems t...