The user interest in content searching in the web will be changed over by time.

    Design/methodology/approach

    The system is in need to find the content of user over the temporal aspects.

    Findings

    So, predicting the user interest over the time by analyzing the fluctuations of their search keyword is important.

    Research limitations/implications

    So, predicting the user interest over the time by analyzing the fluctuations of their search keyword is important.

    Practical implications

    In this work, fuzzy neural network techniques are used to predict the user interest fluctuation in different times in different scenarios.

    Social implications

    In this proposed work, both the long-term and short-term interest are evaluated using the specialized user interface designed to retrieve the user interest based on the user searching activities.

    Originality/value

    This work also categorizes the future needs of users using this proposed system.


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    Title :

    Prediction of user interest fluctuation using fuzzy neural networks in web search


    Additional title:

    Prediction of user interest fluctuation


    Contributors:


    Publication date :

    2020-11-04


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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