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A Recommender System Based on Multi-Criteria Aggregation

Soumana Fomba, Pascale Zarate, Marc Kilgour, Guy Camilleri, Jacqueline Konate, Fana Tangara
2017 International Journal of Decision Support System Technology  
Then we develop a multicriteria recommender system, STROMa (SysTem of RecOmmendation Multi-criteria), to support decisions by aggregating measures of performance contained in a performance matrix.  ...  We review briefly tools of Multi-Criteria Decision Analysis (MCDA), including aggregation operators, that could be the basis for a recommender system.  ...  ., Matsatsinis, N.F. and Tsoukias have set up a recommender system for movies of the high-performance hybrid type, based on the disaggregation-aggregation approach.  ... 
doi:10.4018/ijdsst.2017100101 fatcat:rmluljelljghvbed7u3d3kye4y

Multi-criteria based Item Recommendation Methods

Noor Ifada, Syafrurrizal Naridho, Mochammad Kautsar Sophan
2019 Rekayasa  
On the other hand, CB should never be (solely) implemented in a multi-criteria based item recommendation system on any conditions.  ...  For the experiments, we generate two variations of datasets to represent the normal and cold-start conditions on the multi-criteria item recommendation system.  ...  These results advise that a multi-criteria based item recommendation system must implement a CF method on a cold-start item condition.  ... 
doi:10.21107/rekayasa.v12i2.5913 fatcat:cb3vthk2ergw3j2q35xijldddq

New Recommendation Techniques for Multicriteria Rating Systems

Gediminas Adomavicius, YoungOk Kwon
2007 IEEE Intelligent Systems  
While traditional single-rating recommender systems have been successful in a number of personalization applications, the research area of multi-criteria recommender systems has been largely untouched.  ...  In this paper we propose two new approaches -the similarity-based approach and the aggregation function-based approach -to incorporating and leveraging multi-criteria rating information in recommender  ...  Aggregation Function Based Approach Approaches to integrate multi-criteria rating information into recommender systems discussed in the previous section apply primarily to the similarity-based recommenders  ... 
doi:10.1109/mis.2007.58 fatcat:3ktpd24gwrhkrghayblvfg6gvi

Multi-Criteria Recommender Systems [chapter]

Gediminas Adomavicius, YoungOk Kwon
2015 Recommender Systems Handbook  
This chapter aims to provide an overview of the class of multi-criteria recommender systems.  ...  Then, it focuses on the category of multi-criteria rating recommenders -techniques that provide recommendations by modelling a user's utility for an item as a vector of ratings along several criteria.  ...  Manouselis was funded with support by the European Commission and more specifically, the project ECP-2006-EDU-410012 "Organic.Edunet: A Multilingual Federation of Learning Repositories with Quality Content  ... 
doi:10.1007/978-1-4899-7637-6_25 fatcat:sqvrygjkarci3iugg6dn6n5xym

Normalization based Multi-Criteria Collaborative Filtering Approach for Recommendation System

Noor Ifada, Nur Fitriani Dwi Putri, Mochammad Kautsar Sophan
2020 Rekayasa  
A multi-criteria collaborative filtering recommendation system allows its users to rate items based on several criteria.  ...  Though DMCUser can perform better than DMCItem at large , it is still more practical to implement DMCItem rather than DMCUser in a multi-criteria recommendation system since users tend to show more interest  ...  The contributions of this paper are: (1) A framework of normalization based multi-criteria collaborative filtering approach for recommendation system; and (2) Performance comparison between two multi-criteria  ... 
doi:10.21107/rekayasa.v13i3.8545 fatcat:tcsd4g3y3veo7lcbtiaywbrrue

A new similarity-based multi-criteria recommendation algorithm based on autoencoders

2021 Turkish Journal of Electrical Engineering and Computer Sciences  
Multi-criteria recommender systems are an extension of traditional 8 recommender systems that utilize multi-criteria-based user preferences.  ...  similarity-based multi-criteria collaborative filtering approach based on autoencoders.  ...  A novel deep multi-criteria collaborative filtering model for recommendation system.  ... 
doi:10.3906/elk-2107-145 fatcat:n4kycyumu5gi7moperbxrxf5tm

A multi-study program recommender system using ELECTRE multicriteria method

Linda Marlinda, Taufik Baidawi, Yusuf Durachman, Akmaludin
2017 2017 5th International Conference on Cyber and IT Service Management (CITSM)  
This system is built based on Electre method. When a student fills out a questionnaire, he must be consistent with his/her answer to obtain the best output based on his/her will and characteristics.  ...  Since there are many criteria that must be considered, then through this recommender system, students are able to know what fields are the most appropriate for them.  ...  Multi Criteria Decision Making (MCDM) Multi Criteria Decision Making (MCDM) is a decisionmaking technique based on several existing alternatives or a theory which explains about decision making process  ... 
doi:10.1109/citsm.2017.8089271 fatcat:dsaxafcuqjgejjgmisuflbngke

Context Similarity Metric for Multidimensional Service Recommendation

Liwei Liu, Nikolay Mehandjiev, Dong-Ling Xu
2013 International Journal of Electronic Commerce  
The metric underpins another contribution: a guided aggregation approach to context-based recommendation.  ...  KEY WORDS AND PHRASES: Multi-dimensional recommender system, multiple criteria, contextual information, similarity of context Liwei Liu (liwei.liu@mbs.ac.uk), is a research associate at Manchester Business  ...  Multi-criteria Recommender Systems Recommender systems which consider multi-criteria ratings are known as multi-criteria recommender systems, and many of them engage with Multiple Criteria Decision Making  ... 
doi:10.2753/jec1086-4415180103 fatcat:vvvjndbzkvgbxoobs2uoribw7y

An Item-based Multi-Criteria Collaborative Filtering Algorithm for Personalized Recommender Systems

Qusai Shambour, Mou'ath Hourani, Salam Fraihat
2016 International Journal of Advanced Computer Science and Applications  
Recommender Systems are used to mitigate the information overload problem in different domains by providing personalized recommendations for particular users based on their implicit and explicit preferences  ...  This paper proposes an Item-based Multi-Criteria Collaborative Filtering algorithm that integrates the items' semantic information and multi-criteria ratings of items to lessen known limitations of the  ...  [21] propose a tourism recommender system that employs a recommendation method that integrates both multi criteria user-based and multi criteria item-based CF approaches.  ... 
doi:10.14569/ijacsa.2016.070837 fatcat:6h2k32m7zvf6fm5vh2esxhbdqa

Penalty-Enhanced Utility-Based Multi-Criteria Recommendations

Yong Zheng
2020 Information  
Multi-criteria recommender systems try to take the user preferences on multiple criteria into consideration, in order to further improve the quality of the recommendations.  ...  Most recently, the utility-based multi-criteria recommendation approach has been proposed as an effective and promising solution.  ...  ratings. • The linear aggregation model (LAM) [4] is a standard aggregation-based multi-criteria recommendation method which predicts the multi-criteria ratings independently and uses a linear aggregation  ... 
doi:10.3390/info11120551 fatcat:k5drjcpfhrf5fktwgpk25jrdqq

IPM-G: Enabling Collaborative Filtering Using Multi-Application Interest Models

Zhurong Zhou, Sampath Jayarathna, Atish Patra, Frank Shipman
2014 2014 10th International Conference on Semantics, Knowledge and Grids  
We call IPM running on server, Global IPM (IPM-G), and IPM-G can generate similarity assessments, and thus recommendations, based on three different levels: tasks, documents, and annotations.  ...  This paper describes why collaborative filtering based on multi-application interest models is important, abstractly describes the representation of the interest models, and presents details of one of  ...  [1] discussed two approachesthe similarity-based approach and the aggregation function-based approachto incorporating and leveraging multi-criteria rating information in recommender systems.  ... 
doi:10.1109/skg.2014.17 dblp:conf/skg/ZhouJPS14 fatcat:mqghxrafqfdy5jzqpf3vdk3ybm

Genetic Algorithm Approaches for Improving Prediction Accuracy of Multi-criteria Recommender Systems

Mohammed Hassan, Mohamed Hamada
2018 International Journal of Computational Intelligence Systems  
A multi-criteria recommendation technique is an extended approach for modeling user's preferences based on several characteristics of the items.  ...  This research presents genetic algorithm-based approaches for predicting user preferences in multi-criteria recommendation problems.  ...  Multi-criteria recommender systems Traditionally, RSs recommend items to users based on a single rating between users and potential items 16 , 17 , 19 , 22 .  ... 
doi:10.2991/ijcis.11.1.12 fatcat:s45jcjlt3jgltjen2uflwyuire

A Website Recommender System using Hadoop for Particular Domain

B. S. V. Swaroop, Amit More, Siddhesh Kadam, Shubham Ingle, Prof. M. R. Patil
2015 International Journal of Engineering Research and  
A Website Recommender System using Hadoop" is implemented for recommending websites in particular domain.  ...  Website Recommender system mainly uses HDFS (Hadoop Distributed File System) and Map-Reduce function.  ...  New Recommendation Techniques for Multi-Criteria Rating Systems: Gediminas Adomavicius, Young Ok Kwon proposed two new techniques for recommendation for multi-criteria rating those are similarity based  ... 
doi:10.17577/ijertv4is040467 fatcat:dj2i6nag65fvllluowwt4zu3ei

A Multi Criteria Recommendation Engine Model for Cloud Renderfarm Services

Ruby Annette, Aisha Banu W, Subash Chandran P
2018 International Journal of Electrical and Computer Engineering (IJECE)  
This work proposes a multi criteria recommendation engine model for recommending these Cloud renderfarm services to animators.  ...  The Recommendation model was tested to rank and recommend the cloud renderfarm services in multi criteria requirements by assigning different QoS criteria weight for each scenario.  ...  Multi Criteria Recommender Systems The systems that are based on the Multi Criteria Decision Making methods for generating the recommendations are called the Multi Criteria Recommender Systems.  ... 
doi:10.11591/ijece.v8i5.pp3214-3220 fatcat:wfyooh2jxncbra3cpsccaw7gr4

Effects of Binary Vectors Similarities on the Accuracy of Multi-Criteria Collaborative Filtering

Burcu DEMİRELLİ OKKALIOĞLU
2021 Sakarya University Journal of Computer and Information Sciences  
Recommender systems offer tailored recommendations by employing various algorithms, and collaborative filtering is one of the well-known and commonly used of those.  ...  A traditional collaborative filtering system allows users to rate on a single criterion.  ...  Adomavicius and Kwon [7] propose recommendation techniques for multi-criteria CF (MCCF) systems.  ... 
doi:10.35377/saucis...953348 fatcat:dpykkqqjjvbdnaghjq2ynyr3lm
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