Tuning the matching function for a threshold weighting semantics in a linguistic information retrieval system

Information retrieval is an activity that implies to achieve documents that better fulfil the user information needs. For achieving this activity an Information Retrieval System uses matching functions which specify the degree of relevance of a document with respect to a user query. Assuming linguistic weighted queries we present a new linguistic matching function for a threshold weighting semantics which is defined using a 2-tuple fuzzy linguistic approach [1]. This new 2-tuple linguistic matching function can be interpreted as a tuning of that defined in [2] using an ordinal linguistic approach. We show that it simplifies the processes of computing in the retrieval activity, avoids the loss of precision in final results, and consequently, can help to improve the users’ satisfaction.