UIWGViz: An architecture of user interest-based web graph vizualization

An Approach to Modelling User Interests Using TF-IDF and Fuzzy Sets Qualitative Comparative Analysis

“…Concept-based representations resemble semantic networks in structure but they differ in having nodes to represent abstract topics rather than keywords [14,15]. User profiles can be used in various ways such as: during personalised information retrieval, that is when a system detects relevant documents and information according to users' interests, during re-evaluating the relevance of documents taking into consideration what documents a user has retrieved and during query processing, when a user query can be modified based on user interests [16].…”

“…It is argued that filtering and clustering techniques are very useful in reducing the number of concepts that are found on the web in order to be used in formulating user profiles. However, [16], argues that these techniques lack effectiveness for they produce the same structure of interests for users with different needs. Research show that while many systems produce and use user profiles, e.g.…”

“…Research show that while many systems produce and use user profiles, e.g. in web personalisation, recommender systems there exists no definite procedure for deriving user interests [16][17][18][19]. This paper addresses the need for investigating alternative ways of developing user interests' models and suggests the analysis of the TF-IDF with the FsQCA.…”