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10 articles for “Users Interests”
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Research ArticleOpen accessIn the keywordsStudent Course Recommendation System Using Semantic Aware Temporal Gating With Time TransformerJoshi Vinay Kumar, Dahlia Sam, N. KanyaCourse recommendation system works by analyzing users’ interests and recognizes their historical behavior such as course enrollment and previously watched videos to recommend relevant courses. However, the existing course recommendation systems in Massive Open Online Courses (MOOCs) face challenges in capturing complex semantic information, which impacts student requirements with an unsatisfied recommendation. By combining historical behaviors without temporal awareness, the … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 580 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Movie Recommendation Using Hybrid Jaccard-Based K-Means Clustering Using Apache SparkShiba Prasad Dash, Rajesh Kumar Sahoo, Ram Chandra Barik et al.The need for recommendations specific to each person's interests is growing every day, making recommendation systems increasingly important in people's lives. Researchers have paid close attention to the rapid expansion of e-commerce businesses and online video streaming services like Hotstar, YouTube, and Netflix. The collaborative filtering-based RS system aims to suggest such films or videos to users based on their … …Journal of Computer Science, Vol. 22, Issue 9 · 23 Sep 2026 · 602 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecondary User Sensing Time Optimization in Sensing-Transmission Scheduling for Dynamic Spectrum Access in Cognitive RadioInderdeep Kaur Aulakh, Renu VigThe constraint of limited frequency spectrum for wireless communication is very daunting. The radio spectrum licensed to permanent users is wasted at times when not used continuously. Cognitive radio technology involves a change in regulation of radio spectrum. In cognitive radio networks a secondary user network is designed for efficiently using gaps in spectrum and not causing at the same … …Journal of Computer Science, Vol. 11, Issue 8 · 5 Nov 2015 · 7,343 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach for User Navigation Pattern Discovery and Analysis for Web Usage MiningJ. Vellingiri, S. Kaliraj, S. Satheeshkumar, T. ParthibanWebsites on the internet are useful source of information in our day-to-day activity. Web Usage Mining (WUM) is one of the major applications of data mining, artificial intelligence and so on to the web data to predict the user's visiting behaviours and obtains their interests by analyzing the patterns. WUM has turned out to be one of the considerable areas … …Journal of Computer Science, Vol. 11, Issue 2 · 17 Sep 2014 · 7,630 accessesView PDFCite
Research ArticleOpen accessIn the abstractInformation System Analysis and Building for Integrated Real Estate Business Management in Real Estate MarketHassan Mohammed M. ElmetwalyProblem statement: This study discusses the problem of registration and following-up the real estate rental procedures of all kinds, always what we need is integrated information systems to meet our daily needs in the area of our business. Approach: Proposed information systems includes all of these processes necessary to manage and follow up real estate rental procedures of all different … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 12 Jul 2011 · 7,545 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Technique for Web Log mining with Better Data Cleaning and Transaction IdentificationJ. Vellingiri, S. Chenthur PandianProblem statement: In the internet era web sites on the internet are useful source of information for almost every activity. So there is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. Web mining is the application of data mining, artificial intelligence, chart technology and so on to the … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,889 accessesView PDFCite
Research ArticleOpen accessIn the abstractIPACT: Improved Web Page Recommendation System Using Profile Aggregation Based On Clustering of TransactionsYahya AlMurtadha, Md. Nasir Bin Sulaiman, Norwati Mustapha, Nur Izura UdzirProblem statement: Recently, Web usage mining techniques have been widely used to build recommendation systems especially for anonymous users. Approach: Assigning the current user to the best web navigation profile with similar navigation activities will improve the ability of the prediction engine to produce a recommendation list then introduce it to the user. This study presents iPACT an improved recommendation … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 7,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital Recognition using Neural NetworkSaleh Ali K. Al-Omari, Putra Sumari, Sadik A. Al-Taweel, Anas J.A. HusainProblem statement: Handwriting number recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In our study there are many fields concern with numbers, for example, checks in banks or recognizing numbers in car plates, the subject of digit recognition appears. A system for recognizing isolated digits may be as … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,661 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Classification of Techniques for Web Usage AnalysisHaider Ramadhan, Muna Hatem, Zuhoor Al-Khanjri, Swamy KuttiTechniques which assist in recognizing various access patterns and interests of the Web users are normally referred to as an application of Web usage mining. The application provides useful insights to address crucial points such as user interests into a particular page, server load balancing, Web site reorganization, clustering of similar browsing patterns, classification of user profiles, content caching or … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,783 accessesView PDFCite
Research ArticleOpen accessIn the abstractInterest-based Recommendation in Digital LibraryYan Yang, Jian Zhong LiWith the huge amount and large variety of information available in a digital library, it’s becoming harder and harder for users to identify and get hold of their interested documents. To alleviate the difficulty, personalized recommendation techniques have been developed. Current recommendation techniques rely on similarity between documents. In our work, recommendations are made based on three factors: similarity between … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 7,011 accessesView PDFCite