Search Results - (( using recommender system algorithm ) OR ( java application optimisation algorithm ))

Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan by Shahidan, Nur Amirah

“…K-Nearest Neighbors algorithm is widely used among classification algorithm in recommendation system. …”
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The improvement of Item-based collaborative filtering algorithm in recommendation system using similarity index by Yao, Ma

“…A collaborative filtering algorithm is one of the algorithms applied in the recommendation system. …”
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Marketplace product recommendation using collaborative filter / Muhammad Alif Fauzan Ismail by Ismail, Muhammad Alif Fauzan

“…Objective of the project are to study Collaborative Filter Algorithm of product recommendation system for marketplace, to develop a prototype of Marketplace Product Recommendation System using Collaborative Filter Algorithm and to test the accuracy of Collaborative Filtering algorithm in the proposed work. …”
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A modified π rough k-means algorithm for web page recommendation system by Zidane, Khaled Ali Othman

“…Secondly, the CTI dataset, which has been proven by the existing research work as a more suitable Web server logs in the term of Web page recommendation quality, is used for measuring the performance of the proposed modified algorithm for Web page recommendation system. …”
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A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining by Zolhani, Nur Azleen

“…This recommender system uses slope-one algorithm whereby it accumulate and takes into account of the difference in popularity. …”
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Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail by Ismail, Nur Nazihah

“…Besides, there are various techniques that able to be implemented in recommendation system. For this recommendation system, Genetic Algorithm (GA) is used as a technique to find the optimal results. …”
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Movie recommendation system / Najwa Syamimie Hasnu by Hasnu, Najwa Syamimie

“…As a result, the objectives for this project are to study the most suitable algorithms used for a movie recommender system, to implement Collaborative Filtering algorithm on a movie recommender system prototype and to test the functionality of the movie recommender system, hi this project, a movie recommendation system with the use of Collaborative Filtering is proposed to produce a set list of movies for the users. …”
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Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary by Mohd Zamary, Nurul Aida

“…This project aims to develop a decision-making support model for diabetes diagnosis and treatment recommendation using the decision tree algorithm. The objectives include studying the requirements of the decision tree in the diagnosis and recommendation system, developing a prototype for the system, and evaluating the accuracy of the decision tree algorithm. …”
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Content-based recommender system for an academic social network / Vala Ali Rohani by Vala Ali, Rohani

“…In this study, a new algorithm is proposed to represent an enhanced version of content-based recommender systems by utilizing social networking features. …”
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Movie recommendation using user-based collaborative filtering algorithm / Nur Ayuni Izlin Mat Ishor by Mat Ishor, Nur Ayuni Izlin

“…Thus, the study is to explore how the recommendation engines will work and use user-based collaborative filtering as an algorithm for the movie recommendation. …”
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm. by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

“…A variety of the recommender systems for online personalization through web usage mining have been proposed. …”
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Anime recommender system using K-nearest neighbor algorithm / Luqmanul Hakim Ahmad by Ahmad, Luqmanul Hakim

“…K- nearest neighbor algorithm is chosen to be implemented in the recommender system. …”
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SVD-gorank: Recommender system algorithm using SVD and gower's ranking by Saifudin, Ilham, Widiyaningtyas, Triyanna, Zaeni, Ilham Ari Elbaith, Aminuddin, Afrig

“…Recommender systems using ranking-oriented collaborative filtering are currently widely used. …”
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Educational video recommender system for computer science students using content-based filtering / Walid Burhani Mohd Zamani by Mohd Zamani, Walid Burhani

“…The objective is to study the content-based algorithm, to develop the prototype of educational video recommendation system using content-based filtering algorithm and to evaluate the performance and accuracy of the content-based filtering algorithm. …”
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SRcS: Smartphone Recommendation System using genetic algorithm / Nursalsabiela Affendy Azam by Affendy Azam, Nursalsabiela

“…Thus, the objective of the system is to design and develop a progressive web application (PWA) recommendation system for purchasing a smartphone by using genetic algorithm and test the system functionality. …”
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A machine learning approach to tourism recommendations system by Chia, An

“…This project aims to develop a tourism attractions recommendation system by integrating machine learning recommendation algorithms. …”
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Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland by Azland, Fatin Nadhirah

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A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata by Darvishy, Asghar

“…The early recommender systems use popularity or recency, or both as properties to demonstrate the interestingness of the news items which do not reflect the actual nature of the news items. …”
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