Abstract
In all studies of user’s behavior on searching the web, researchers found that their search strategy or traversal process showed a pattern of moving back and forth between searching and browsing. These activities of searching and browsing are inclusive activities to complete a goal-oriented task to find the answer for the query. The moving back and forth, including backtracking to a former web page, constitute the measurable or physical states or actions that a user takes while searching the web. Is there a mathematical model that can help model actions of users to distinguish between 2 users while their repeated actions are accounted for since it is a part of their behavior or inherent essence to arrive at the goal of answering the questions regardless whether they are successful or unsuccessful? The idea of a set does not help account for repeated actions. It is known that in a set repeated objects are ignored. In some situations we want a structure in which a collections of objects in the same sense as a set but a redundancy counts. The structure of a bag as a framework can help study the behavior of users and uncover some intrinsic properties about users. This study continues in applying bags to user’s mining of the web[10]. It considers queries that depend on more than one variable since multi variable queries have never been studied in the literature and the power of fuzzy bags in dealing which them. The queries are of the sort:“ Find the number of web pages of users whose number of searches is less than average and hyperlink navigation is less than the average.”
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Meghabghab, G. (2003). The Difference Between 2 Multidimensional Fuzzy Bags: A New Perspective on Comparing Successful and Unsuccessful User’s Web Behavior. In: Bilgiç, T., De Baets, B., Kaynak, O. (eds) Fuzzy Sets and Systems — IFSA 2003. IFSA 2003. Lecture Notes in Computer Science, vol 2715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44967-1_11
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DOI: https://doi.org/10.1007/3-540-44967-1_11
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