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42 articles for “User Interest”
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Research ArticleOpen accessPhrase in the titleAn Application of Session Based Clustering to Analyze Web Pages of User Interest from Web Log FilesC. P. Sumathi, R. Padmaja Valli, T. SanthanamProblem statement: With the continued growth and proliferation of e-commerce, Web services and Web-based information systems, the volumes of click-stream and user data collected by Web-based organizations in their daily operations have reached astronomical proportions. Analyzing such data can help these organizations optimize the functionality of web-based applications and provide more personalized content to visitors. This type of analysis involved … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,877 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe User Experience Analysis of Digital Health Tracking Application in IndonesiaSugiarto Hartono, Henricus Bambang Triantono, Hendri Hartono et al.Indonesia has an application for health tracking called SATUSEHAT. This application is used to search for hospitals, record vaccine data, and all functions related to public health. This application was first used since the COVID-19 pandemic in mid-2020. The problem is that people are starting to be reluctant to use the application. Initially, this application had 105 million users. Currently, … …Journal of Computer Science, Vol. 20, Issue 9 · 9 Jul 2024 · 5,260 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Page Ranking Algorithm for a Personalized Web SearchJ. Jayanthi, K. S. JayakumarProblem statement: Information on the web is growing exponentially. Today, traditional search engines provide results mainly based on the user’s query. Though the context of the query varies, the returned result seems to be same for all users. Accordingly users are expected to search for the relevant results, which is an added overhead to the users. Approach: We propose a … …Journal of Computer Science, Vol. 8, Issue 7 · 12 May 2012 · 6,995 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMIGITATION OF INTER CELL INTERFERENCE AND FADING IN LTE SYSTEMSNagarajan Amutha Prabha, Gorla Vidhya Sagar, Venugopal ManikandanIn this study we investigate the compensation of outage area utmost. It introduces the self optimization of the neighbors of the outage cells with antenna tilts for the generation of the most suitable configuration settings for the network with base stations/eNodeBs positional information. All the neighbors of the outage cell increase their coverage area and thus contribute to cell outage … …Journal of Computer Science, Vol. 10, Issue 3 · 28 Nov 2013 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the abstractUser Factors Towards Purchasing Attitudes via E-Commerce in Tangerang CityVeronica, Julio Evan Desnito, Muhaimin Sasni AritaAdvances in information technology have made the use of the internet a primary need for society, especially in the context of economics, such as e-commerce. Interest in online shopping is increasing, thus driving the growth of e-commerce platforms in Indonesia. This encourages each e commerce platform to implement the best strategy to increase sales, either through improving appearance, adjusting prices, … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 2,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractFolk Music Recommendation Using NSGA-II Optimization AlgorithmJoyanta Sarkar, Anil Rai, Kayala Kiran Kumar et al.Music recommendation systems can significantly improve the listening and search experiences of a music library or music application. There is simply too much music on the market for a user to navigate tens of millions of songs effectively. Because of the high demand for excellent music recommendations, the field of Music Recommendation Systems (MRS) is rapidly expanding. The main motivation … …Journal of Computer Science, Vol. 19, Issue 12 · 8 Nov 2023 · 5,634 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutism Spectrum Disorder Prediction Using Hybrid Deep Learning Model and a Recommendation System Application for Autistic PatientBiplov Paneru, Bishwash Paneru, Krishna Bikram Shah et al.The goal of this study is to create machine learning models that use a big dataset to predict Autism Spectrum Disorder (ASD). To achieve optimal performance, a number of algorithms were employed and refined, including Support Vector Machines (SVM), Random Forest, XGBoost, Multi-Layer Perceptron (MLP) and a hybrid model that combines MLP and SVM. To evaluate the durability of the … …Journal of Computer Science, Vol. 20, Issue 9 · 6 Jul 2024 · 6,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractCommunity Aware Recommendation System with Explicit and Implicit Link PredictionMuhammed E Abd Alkhalec Tharwat, Mohd Farhan Md Fudzee, Shahreen Kasim et al.Recommendation systems are essential tools that help users discover content they may be interested in, amidst the vast amount of information available online. However, current methods, such as using historical user-item interactions and collaborative filtering, have limitations in accurately predicting user preferences. Our research aims to address these challenges and improve the performance of recommendation systems. In this article, we … …Journal of Computer Science, Vol. 19, Issue 8 · 19 Jul 2023 · 5,858 accessesView PDFCite
Research ArticleOpen accessIn the abstractEscalating SVM-Efficiency by Sequential QP LP and Slack Variable AnalysisAmit Kumar Kundu, Rezaul Karim, Ali Ahmed AveSupport Vector Machine (SVM) is a highly attractive algorithm among many machine learning models due to its generalization power and classification performance based on sound mathematical formulation being convex that offers global minimum. However, despite being sparse, its high classification cost from kernel execution with Support Vectors (SVs) reduces the user's interest when there are hard computational constraints in the … …Journal of Computer Science, Vol. 19, Issue 10 · 6 Sep 2023 · 5,913 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Conceptual Model for the E-Commerce Application Recommendation Framework using Exploratory SearchMohammed Mahmudur Rahman, Zulkifly Mohd Zaki, Najwa Hayaati Binti Mohd Alwi, Md. Monirul IslamThe users helped by the search engine for online transactions in e-commerce; nonetheless, there is still a lack of search interest from the user and online shopping intentions. To boost the user's search for product recommendations, use a search engine for the quest but not for purchasing purposes. Existing frameworks have some significant problems in the recommendation technology, such as … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,160 accessesView PDFCite