Customers’ loyalty model in the design of e-commerce recommender systems by Abumalloh, Rabab Ali

“…Recommender systems have been adopted in most modern online platforms to guide users in finding more suitable items that match their interests. …”
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Discovering the impact of knowledge in recommender systems: a comparative study by Amini, Bahram, Ibrahim, Roliana, Othman, Mohd. Shahizan

“…Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information. …”

Using trust-based recommender systems for personalized health content by Koochi, Morteza Rashidi, Che Hussin, Ab. Razak

“…Recommender Systems intend to discover personalized items for a user based on item's descriptions and user's preferences. …”

Cross domain recommender systems: A systematic literature review by Khan, M. M., Ibrahim, R., Ghani, I.

“…Cross domain recommender systems (CDRS) can assist recommendations in a target domain based on knowledge learned from a source domain. …”

Domain of application in context-aware recommender systems: a review by Haruna, Khalid, Ismail, Maizatul Akmar, Mohamed Shuhidan, Shuhaida

“…The purpose of this research is to provide an exhaustive overview of the existing literature on the domain of applications in recommender systems with their incorporated contextual information in order to provide insight and future directions to practitioners and researchers.We reviewed published journals and conference proceedings papers from 2010 to 2016.The review finds that multimedia and e-commerce are the most focused domains of applications and that contextual information can be grouped into static, spatial and temporal contexts.…”
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Density-based hybrid recommender system combining demographic methods and collaborative filtering / by 512683 Siavash Ghodsi Moghaddam, Ali Selamat, supervisor, Fakulti Sains Komputer dan Sistem Maklumat

Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

“…The aim of this study is to study about music recommender system on how it is implemented and to design and develop a music recommender system. …”
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Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm by Aida Ghorbani, Amir Daneshvar, Ladan Riazi, Reza Radfar

“…The vast amount of information available on social networks has led to the importance of using friend recommender systems to discover knowledge about future communications. …”
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Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System by Sandipan Sahu, Raghvendra Kumar, Mohd Shafi Pathan, Jana Shafi, Yogesh Kumar, Muhammad Fazal Ijaz

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Multi-Criteria Review-Based Recommender System–The State of the Art by Sumaia Mohammed Al-Ghuribi, Shahrul Azman Mohd Noah

Subjects: “…Recommender system…”
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DTCRSKG: A Deep Travel Conversational Recommender System Incorporating Knowledge Graph by Hui Fang, Chongcheng Chen, Yunfei Long, Ge Xu, Yongqiang Xiao

“…In tourism, a travel recommender system based on big travel data has been developing rapidly over the last decade. …”
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Towards a Recommender System for In-Vehicle Antenna Placement in Harsh Propagation Environments by Daniel Kraus, Konrad Diwold, Jesús Pestana, Peter Priller, Erich Leitgeb

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A Recommender System for Increasing Energy Efficiency of Solar-Powered Smart Homes by Quentin Meteier, Mira El Kamali, Leonardo Angelini, Omar Abou Khaled

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Mobile Tourism Recommender System for Users to Get a Better Choice of Tour by Mostafa. M.khater, El-Sayed M. El-kenawy, Mostafa Abotaleb

Subjects: “…Recommendation system, tourism, filtering, collaborative…”
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Health Social Network: a Recommender System with Heterogeneous Information Network approach by seyed saeed mortazavi, Fereshteh-Azadi Parand

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Towards more trustworthy predictions: A hybrid evidential movie recommender system by Raoua Abdelkhalek, Imen Boukhris, Zied Elouedi

Subjects: “…Recommender Systems…”
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Distilling experience into a physically interpretable recommender system for computational model selection by Xinyi Huang, Thomas Chyczewski, Zhenhua Xia, Robert Kunz, Xiang Yang

“…To address this issue, we distill human experience into a recommender system. A trained recommender system tells whether a computational model does well or poorly in handling a physical process. …”
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A recommender system for occupational hygiene services using natural language processing by Nicolás Barrera, Rodolfo Torres, Jhonathan Rodríguez, Oscar Espinosa, Salín Avellaneda, Jorge Ramírez

Subjects: “…Recommender system…”
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Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets by Ilham Saifudin, Triyanna Widiyaningtyas

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Analyzing the Impact of Components of Yelp.com on Recommender System Performance: Case of Austin by Seungwoo Lee, Hyunjoo Shin, Ilyoung Choi, Jaekyeong Kim

Subjects: “…Restaurant recommender systems…”
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