The SAPO Campus recommender system: a study about students’ and teachers’ opinions by Luís Pedro, Carlos Santos, Sara Filipa Almeida, Fernando Ramos, António Moreira, Margarida Almeida, Maria João Antunes

“…This paper aims to assess the relevance and usefulness of the SAPO Campus recommender system, through the analysis of students’ and teachers’ opinions. …”
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A Social–Aware Recommender System Based on User’s Personal Smart Devices by Soroush Ojagh, Mohammad Reza Malek, Sara Saeedi

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A Customized Deep Sleep Recommender System Using Hybrid Deep Learning by Ji-Hyeok Park, Jae-Dong Lee

Subjects: “…recommender system…”
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Deep Learning-Based Context-Aware Recommender System Considering Contextual Features by Soo-Yeon Jeong, Young-Kuk Kim

Subjects: “…recommender systems…”
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A Personalized Flight Recommender System Based on Link Prediction in Aviation Data by Ho Yin Kan, Dennis Wong, Keith Chau

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HyperRS: Hypernetwork-Based Recommender System for the User Cold-Start Problem by Yuxun Lu, Kosuke Nakamura, Ryutaro Ichise

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Deep Learning-Based Context-Aware Recommender System Considering Change in Preference by Soo-Yeon Jeong, Young-Kuk Kim

Subjects: “…recommender systems…”
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Re-Enrichment Learning: Metadata Saliency for the Evolutive Personalization of a Recommender System by Yuseok Ban, Kyungjae Lee

Subjects: “…recommender system…”
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Personalized Tourist Recommender System: A Data-Driven and Machine-Learning Approach by Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar, Seung-Ryul Jeong

Subjects: “…personalized recommender system…”
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Graph Convolutional Neural Network for a Pharmacy Cross-Selling Recommender System by Franz Hell, Yasser Taha, Gereon Hinz, Sabine Heibei, Harald Müller, Alois Knoll

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A Deep Learning-Based Course Recommender System for Sustainable Development in Education by Qinglong Li, Jaekyeong Kim

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Rec4LRW : scientific paper recommender system for literature review and writing by Foo, Schubert, Pang, Natalie, Sesagiri Raamkumar, Aravind

“…In this paper, we introduce Rec4LRW, a recommender system (RS) for assisting researchers in finding research papers for their literature review and writing purposes. …”
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Instant Knowledge: a Secure Mobile Context−Aware Distributed Recommender System by Helmhout, M, McDiarmid, A, Tomlinson, A, Irvine, J, Saunders, C, McDonald, J, Jefferies, N

A hybrid approach to building face shape classifier for hairstyle recommender system by Pasupa, Kitsuchart, Sunhem, Wisuwat, Loo, Chu Kiong

“…This work presents a novel framework for a hairstyle recommender system that is based on face shape classifier. …”

An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms by Zahid, Aafaq

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Context-aware recommender system based on machine learning in tourist mobile application. by Saad, Nor Liza, Khairudin, Nurkhairizan, Azizan, Azilawati, Abd. Rahman, Abdullah Sani, Ibrahim, Roslina

“…This paper provides the fundamental knowledges on machine learning design and evaluation useful in the tourist mobile application with context-aware recommender system.…”
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Density-based hybrid recommender system combining demographic methods and collaborative filtering by Moghaddam, Siavash Ghodsi

Social learning approach in designing persuasive e-commerce recommender system model by Che Lah, N. S., Che Hussin, A. R., Ab Rahim, N. Z., Busalim, A. H.

“…But to date, there is still limited research on implementing persuasion concept into the recommender system context. Drawing upon the principle design of persuasive system, the main purpose of this study is to explore social learning advantages in creating persuasive features for E-Commerce recommender system. …”
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Weighted aspect-based opinion mining using deep learning for recommender system by Da’u, Aminu, Salim, Naomie, Rabiu, I., Osman, A.

“…This could affect the reliability and performance of the recommender systems (RS). Therefore, in this paper, we propose a weighted Aspect-based Opinion mining using Deep learning method for Recommender system (AODR) that can extract product's aspects and the underlying weighted user opinions from the review text using a deep learning method and then fuse them into extended collaborative filtering (CF) technique for improving the RS. …”

AK Tourism: A Property Graph Ontology-based Tourism Recommender System by Keng, Seong She, Su, Cheng Haw, Yu, Gene Loh, Fang, Fang Chua

“…In this paper, we propose: (i) ontology representation, (ii) sample query in Cypher, and (iii) AK Tourism to demonstrate the recommender system in Malaysia tourism domain.…”
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