1976/05/01 by Stephen Robertson, Karen Spärck Jones · 13 citations
Computer Science · #Information Retrieval and Search Behavior #Image Retrieval and Classification Techniques #Data Management and Algorithms
paper · doi:10.1002/asi.4630270302
openalex publication_date 1976/05/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/18
Abstract This paper examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general. A series of relevance weighting functions is derived and is justified by theoretical considerations. In particular, it is shown that specific weighted search methods are implied by a general probabilistic theory of retrieval. Different applications of relevance weighting are illustrated by experimental results for test collections.