SVNN-Entropy Weighting Strategy (SVNN-EWS) for Popularity Ranking Factors in Library and Information System
a neutrosophic framework
Keywords:
Entrophy, Information retrieval, Multi criteria, Decision making, Neutrosophic set, Online public catalogue, Ranking factors, Relevance ranking, Single-valued neutrosophic numberAbstract
Information Retrieval (IR) in Library and Information System (LIS) is not displayed in their search results as users like to see them in deserved order. It is happening because of the incorporation of a few numbers of ranking factors and the model is not user-centred.
Consequently, problems with user satisfaction are continuously reported. There are six groups of ranking factors, namely, “Text Statistics, Popularity, Freshness, Locality and Availability, Content Properties, and User Background”. The objectives of the study are to present the factors related to the ranking of search results in LIS, and to assign the weights of each factor of popularity group considering the experts’ opinion using the entropy method in Single Valued Neutrosophic Numbers (SVNNs). A review of the concerned literature shows that there exists no such study that used the Entropy strategy in Information Retrieval (IR) in LIS
and determine weights of the factors for ordering search results considering popularity ranking factors and on the other hand this is a user-centric approach. All these make the proposed study a novelty approach. The considered factors can be used in designing a ranking model for a LIS, designing Web-scale Discovery Tools (DT), or when discussing such a project with an Integrated Library Management System (ILMS) vendor.
