International Conference on Computer and Knowledge Engineering

Home / 15th International Conference on Computer and Knowledge Engineering

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.

Papers List

List of archived papers

SCDS: A Secure Clustering Protocol Using Dempster-Shafer Theory for VANET in Smart City

Hoda Mosadegh - Nazbanoo Farzaneh

Cardiology Disease Diagnosis by Analyzing Histological Microscopic Images Using Deep Learning

Maria Salehpanah - Jafar Tanha - Zahra Jafari - SeyedEhsan Roshan - Sajad Rezaei

Adaptive Pattern Reconstruction Using Linear Regression for Improved TPS Anomaly Detection

Ali Azarsina - Alireza Safarzadeh - MohammadReza Jamali - Abdolhossein Vahabie

Efficient Vision Transformer for Accurate Traffic Sign Detection

Javad Mirzapour Kaleybar - Hooman Khaloo - Avaz Naghipour

Data-Optimized Dry Rock Property Prediction Using Ensemble and Kernel-Based ML Methods

Esmael Makarian - Hassanreza Ghasemitabar - Alireza Behinrad - Mahdi Fathi - Andisheh Alimoradi - Ayub Elyasi

Hybrid Vision Transformer for Detection of Dentigerous Cysts in Dental Radiography Images

Reza Tavasoli - Arya VarastehNezhad - Hamed Farbeh

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

Speech Emotion Recognition Using a Hierarchical Adaptive Weighted Multi-Layer Sparse Auto-Encoder Extreme Learning Machine with New Weighting and Spectral/SpectroTemporal Gabor Filter Bank Features

Fatemeh Daneshfar - Seyed Jahanshah Kabudian

Introducing Meta-Contrastive Adaptive Autoencoder to Tackle Cold-Start Challenges in Sparse Domains

Hossein Rashid - Erfan Arzhmand - Fatemeh Hosseini

Enhanced Hate Speech Detection Using Focal Loss and Multi-Head Attention for Imbalanced Social Media Text

Ali Rezazadeh - Hadi Shahriar Shahhoseini