2007/10/01 by S. Braichevsky, Braichevsky, S., Dmytro Lande +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Psychology · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #Computer science #Conformity #Data mining #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Image Retrieval and Classification Techniques #Information retrieval #Measure (data warehouse) #Psychology #Relevance (law) #Set (abstract data type) #Task (project management) #The Internet #World Wide Web #cs.CL
paper · pdf · doi:10.48550/arxiv.0710.0228
published in arXiv (Cornell University) (Cornell University) · 6 pages, 56 figures
arxiv created 2007/10/01 · openalex publication_date 2007/10/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In the task of information retrieval the term relevance is taken to mean formal conformity of a document given by the retrieval system to user's information query. As a rule, the documents found by the retrieval system should be submitted to the user in a certain order. Therefore, a retrieval perceived as a selection of documents formally solving the user's query, should be supplemented with a certain procedure of processing a relevant set. It would be natural to introduce a quantitative measure of document conformity to query, i.e. the relevance measure. Since no single rule exists for the determination of the relevance measure, we shall consider two of them which are the simplest in our opinion. The proposed approach does not suppose any restrictions and can be applied to other relevance measures.