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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.  ...  First, it defines the recommendation problem as a multi-criteria decision making (MCDM) problem, and reviews MCDM methods and techniques that can support the implementation of multi-criteria recommenders  ...  Second, we focus on the particular type of multi-criteria recommender system that use multi-criteria ratings, referred to as multi-criteria rating recommenders because, while it has not been extensively  ... 
doi:10.1007/978-1-4899-7637-6_25 fatcat:sqvrygjkarci3iugg6dn6n5xym

Multi Criteria Recommendation System for Material Management

Mr. Rahul Samant, Mr. Sachin Deshpande, , Mr. Anil Jadhao
2016 International Journal Of Engineering And Computer Science  
Material utilization is a multi -criteria decision making problem consist of several conflicting criteria must verified before taking any decision.  ...  Index Terms-Material management, TOPSIS, AHP, Material mobilization, Multi criteria decision making.  ...  Each methods having its own pros and cons, Sohail Asghar suggested that hybrid decision making system required, which can overcome complex problem by using multi criteria decision making [4] .  ... 
doi:10.18535/ijecs/v5i3.23 fatcat:jqpjlqq6crdohii6vfurzpogtm

Analysis and Classification of Multi-Criteria Recommender Systems

Nikos Manouselis, Constantina Costopoulou
2007 World wide web (Bussum)  
This paper proposes a Web-based tool that allows for simulated testing of a special class of multi-criteria recommender systems, namely multi-attribute collaborative filtering systems.  ...  A plethora of real-life applications of recommender systems in the Web exists.  ...  Such systems, referred to as multi-criteria recommenders, early demonstrated the potential of applying multi-criteria decision making (MCDM) methods to facilitate recommendation in numerous application  ... 
doi:10.1007/s11280-007-0019-8 fatcat:hx5tebe4tnbgfj2srfcn7kq3je

Multi-Criteria Recommendation Systems to Foster Online Grocery

Manar Mohamed Hafez, Rebeca P. Díaz Redondo, Ana Fernández Vilas, Héctor Olivera Pazó
2021 Sensors  
The recommendation system (RS) with information technology development is the solution, it is an intelligent system.  ...  We propose three-criteria recommendation systems (product, package and health) for each document representation method to foster online grocery shopping, which depends on product characteristics such as  ...  We also address the three-criteria recommendation systems; Product, Package and Health for each document representation model to the specific problem of, given a source product P, applying RSs to suggest  ... 
doi:10.3390/s21113747 pmid:34071344 fatcat:jhqtwdaxk5bqjiq2i4g3btlk7a

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.  ...  Recommendation systems Recommendation systems are as interactive decision support systems to take into account evolving preferences of users with a view to make recommendations.  ... 
doi:10.4018/ijdsst.2017100101 fatcat:rmluljelljghvbed7u3d3kye4y

A Hybrid Multi-Criteria Hotel Recommender System Using Explicit And Implicit Feedbacks

Ashkan Ebadi, Adam Krzyzak
2016 Zenodo  
Using multi-aspect rating system and benefitting from large-scale data of different types, the recommender system suggests hotels that are personalized and tailored for the given user.  ...  The entire recommender engine contains multiple sub-systems, namely users clustering, matrix factorization module, and hybrid recommender system.  ...  Although MAE of the multi-criteria recommender is slightly higher, i.e. 0.76 vs. 0.65, since the other metrics are much better for the multi-criteria system, it can be said that the multi-criteria recommender  ... 
doi:10.5281/zenodo.1125866 fatcat:ss77gvxzj5eu3ejium5hbzzsei

A BERT-Based Multi-Criteria Recommender System for Hotel Promotion Management

Yuanyuan Zhuang, Jaekyeong Kim
2021 Sustainability  
This study suggests a multi-criteria recommender system to recommend a suitable target customers for the hotel.  ...  The performance of the multi-criteria recommender system suggested in this study is better than that of the benchmark system, a single-criteria recommender system using overall ratings.  ...  In addition, the performance of the proposed multi-criteria recommender system is better than that of the single-criteria recommender system.  ... 
doi:10.3390/su13148039 fatcat:hvcfenr3ibdsxozaxfmeh7l5ee

Ranking cloud render farm services for a multi criteria recommender system

J Ruby Annette, Aisha Banu
2018 Sadhana (Bangalore)  
In these types of multi criteria recommender systems the ranking of services plays a major role.  ...  Usually for recommending services, multiple attributes of the services are evaluated and these types of recommender systems that evaluate multiple attributes are called multi criteria recommender systems  ...  However, these MCDM based multi criteria recommender system for PaaS (Platform-as-a-Service) type of cloud render farm services have not been considered.  ... 
doi:10.1007/s12046-018-0981-0 fatcat:nvctitpfovhdzaktvlmq5iqdtm

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  ...  INTRODUCTION The multi-criteria collaborative filtering recommendation systems give their users preferences to rate items of their interest according to several criteria.  ... 
doi:10.21107/rekayasa.v13i3.8545 fatcat:tcsd4g3y3veo7lcbtiaywbrrue

Global and Local Tensor Factorization for Multi-criteria Recommender System

Shuliang Wang, Jingting Yang, Zhengyu Chen, Hanning Yuan, Jing Geng, Zhen Hai
2020 Patterns  
In multi-criteria recommender systems, matrix factorization characterizes users and items via latent factor vectors inferred from user-item rating patterns.  ...  single global tensor factorization alone may not be sufficient to characterize diverse preferences among different groups of users, and a combined global and local tensor factorization method (GLTF) for multi-criteria  ...  A system that exploits multiple user ratings based on various criteria of items to support recommendations is commonly referred to as a multi-criteria recommender system (M-CRS).  ... 
doi:10.1016/j.patter.2020.100023 pmid:33205096 pmcid:PMC7660452 fatcat:vi6yg2ndffdhzadvuaahdxj4gq

A Hotel Recommender System Based on Multi-Criteria Collaborative Filtering

Qusai Y. Shambour, Ahmad Adel Abu-Shareha, Mosleh M. Abualhaj
2022 Information Technology and Control  
This paper aims to develop a novel fusion-based multi-criteria collaborative filtering model that provides more effective and personalized hotel recommendations.  ...  The proposed model enhances the prediction accuracy of hotel recommendations by the deployment of multi-criteria ratings that precisely express travelers' complex preferences and addresses the insufficiency  ...  A multi-criteria recommender system (MCRS) is an extension of a single-rating recommender system in which users provide ratings on a number of criteria for each item.  ... 
doi:10.5755/j01.itc.51.2.30701 fatcat:j4pq2bfzinenrdd37hyab3iv54

Destinations Ratings Based Multi-Criteria Recommender System for Indonesian Halal Tourism Game

2022 International Journal of Intelligent Engineering and Systems  
We use destinations ratings-based multi-criteria recommender system (MCRS) to generate recommendation rankings as a reference for visualizing halal travel for players as potential tourists.  ...  In this study, we use eight destinations rating criteria as a reference for calculating the recommender system in the halal tourism game.  ...  Multi-criteria recommender system for choosing tourism destinations The Multi-Criteria Recommender System (MCRS) generates recommendations that work by extending the traditional approach.  ... 
doi:10.22266/ijies2022.0228.26 fatcat:rvriwtu2sjcpliqdpxalxo5fzm

Multi-criteria clustering-based recommendation using Mahalanobis distance

Mohammed Wasid, Rashid Ali
2020 International Journal of Reasoning-based Intelligent Systems  
Intelligent systems imply any systems that can do systematised reasoning, including automated and heuristic reasoning.  ...  , and to uncover hidden logics that have not yet been systematized but are applicable to intelligent systems.  ...  Intelligent systems imply any systems that can do systematised reasoning, including automated and heuristic reasoning.  ... 
doi:10.1504/ijris.2020.10028336 fatcat:6npslzn7yrfmdhspa567vhq7xi

A Neural Networks Approach for Improving the Accuracy of Multi-Criteria Recommender Systems

Mohammed Hassan, Mohamed Hamada
2017 Applied Sciences  
Recently, multi-criteria recommender systems that use multiple criteria ratings to estimate overall rating have been receiving considerable attention within the recommender systems research domain.  ...  This paper proposes a neural network model for improving the prediction accuracy of multi-criteria recommender systems.  ...  Acknowledgments: The authors would like to offer special thanks to the Editors of the Journal of Applied Sciences and the anonymous reviewers for their useful comments and recommendations, which helped  ... 
doi:10.3390/app7090868 fatcat:pptkjimebja4dlvckmxvqdr6w4

Hypothetical tensor-based multi-criteria recommender system for new users with partial preferences

Minsung Hong, Jason Jung
2020 Computer Science and Information Systems  
Multi-Criteria Recommender Systems (MCRSs) have been developed to improve the accuracy of single-criterion rating-based recommender systems that could not express and reflect users?  ...  And then the rules are defined by considering relationships between multi-criteria.  ...  .: A novel deep multi-criteria collaborative filtering model for 25 recommendation system. Knowledge-Based Systems 187 (2020) 26 23.  ... 
doi:10.2298/csis200531056h fatcat:z5xsuru62zcndi6gn7efz7zemu
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