International Conference on Computer and Knowledge Engineering

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User Behavior Analysis : A Framework for Web Systems with Adaptive User Interfaces Using Unsupervised Modeling

Authors :

Ali Bajelan¹ Ehsan Khadangi (Corresponding Author)²

1- Department of Software Engineering, Shahed University, Ministry of Science, Research and Technology (MSRT), Tehran, Iran 2- Department of Software Engineering, Shahed University, Ministry of Science, Research and Technology (MSRT), Tehran, Iran

Keywords :

Self-adaptability،Text Mining،Similarity Measurement،Topic Modeling،User Behavior Analysis

Abstract :

Modern systems often deal with uncertain data, requiring real-time decision-making. Adaptive user interfaces have emerged to address this need, where the interface dynamically adapts to user needs and preferences. This research presents an unsupervised framework for a content generation system. Within this framework, user search terms are collected, and user behavior is identified through topic modeling to provide recommendations and enhance user experience. The adaptability module supports dynamic logging of user behavior, search analysis, and suggestion generation. This system effectively identifies a user's research path and displays their proximity to various content generation system topics via an adaptive user interface.