Comparative Analysis of Collaborative Filtering on GraphLab, MLlib and Mahout
JISR on Computing, 2015 Recommendation systems are used to recommend items or products to the user based on their previous purchases, visits, interests, ratings, wish lists or reviews to develop interest and to display the accurate and suitable items on board.
Abdul Samad, Saif-ur-Rahman
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SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics [PDF]
E3S Web of Conferences, 2021 Recommendation system is unable to achive the optimal algorithm, recommendation system precision problem into bottleneck. Based on the perspective of product marketing, paper takes the inherent attribute as the classification standard and focuses on the ...
Lv jiaojiao, Zhao yingsi
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Reciprocal Recommendation System for Online Dating [PDF]
, 2015 Online dating sites have become popular platforms for people to look for potential romantic partners. Different from traditional user-item recommendations where the goal is to match items (e.g., books, videos, etc) with a user's interests, a ...
Chen, Cindy +3 more
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Recommendation System for Thesis Topics Using Content-based Filtering
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 When pursuing their bachelor degree, every students are required to pursue a thesis in order to graduate from the major that they take. However, during the process, students got several difficulty regarding chosing their thesis topics.
Hans Satria Kusuma, Aina Musdholifah
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Supporting the Optimized Execution of Business Processes through Recommendations [PDF]
, 2011 In order to be able to flexibly adjust a company’s business processes (BPs) there is an increasing interest in flexible Process-Aware Information Systems (PAISs).
Barba Rodríguez, Irene +2 more
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Recommending Sources in News Recommender Systems
Proceedings of the 11th International Conference on Web Information Systems and Technologies, 2015 Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
Özgöbek Ö., Gulla J.A., Erdur R.C.
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An Adaptive Genetic Algorithm for Personalized Itinerary Planning
IEEE Access, 2020 Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, tourists have different kinds of preferences about their itineraries, limited time budgets, unfamiliar with the wide range of Points-of-Interest (POIs) in ...
Phatpicha Yochum +3 more
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Approach to Building a Recommendation System for Libraries
Современные информационные технологии и IT-образование, 2023 The paper considers the possibility of building a hybrid recommendation system for the electronic library catalog in the form of a recommendation service. The following options for building recommendations were considered: collaborative filtering methods,
Yulia Leonova +3 more
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Proposed Expert System for Controlling Obesity and Overweight Issues among Urban and Semi-urban School going Children: An Epidemiological Study [PDF]
Journal of Clinical and Diagnostic Research, 2021 Introduction: The incremental swift pervasiveness and the associated health consequences, obesity is perceived as one of the most genuine health problems of the early 21st century.
Anchal Garg +2 more
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Optimization of English Learning Platform Based on a Collaborative Filtering Algorithm
Complexity, 2021 This paper provides a detailed description of the recommendation system and collaborative filtering algorithm to optimize the English learning platform through the collaborative filtering algorithm and analyses the algorithmic principles and specific ...
Jiali Tang
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