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

Abstract

Purpose

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.

Citation

N C, S. and Ch, P.R. (2020), "Prediction of user interest fluctuation using fuzzy neural networks in web search", International Journal of Intelligent Unmanned Systems, Vol. 8 No. 4, pp. 307-319. https://doi.org/10.1108/IJIUS-02-2019-0013