A Data-Driven Personalized Lighting Recommender System by Atousa Zarindast , Jonathan Wood 

Subjects: “…smart recommendation system…”
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Classification process in a text document recommender system by Dan MUNTEANU, Severin BUMBARU

“…This paper presents the classification process in a recommender system used for textual documents taken especially from web. …”
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User-Oriented Preference Toward a Recommender System by Pei-Chun Lin, Nureize Arbaiy

Subjects: “…Recommendation System…”
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Hybrid Recommender System Leveraging Stacked Convolutional Networks by Naresh Nelaturi, G . Lavanya Devi

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A collaborative approach for research paper recommender system. by Khalid Haruna, Maizatul Akmar Ismail, Damiasih Damiasih, Joko Sutopo, Tutut Herawan

“…Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. …”
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An intelligent film recommender system based on emotional analysis by Wenzuixiong Xiong, Yichao Zhang

“…The test results show that the effect of the personalized film recommendation system based on multimodality is superior to that of the comparison method, which effectively solves the problem of different user rating scales, and really increases users’ interest in watching films.…”
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Vulcanus 2.0: A Recommender System for Accessibility by Ismael Gomes Cardoso, Bruno Mota, Jorge Luis Victoria Barbosa, Rodrigo da Rosa Righi

Subjects: “…Recommender System…”
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A Bayesian Inference Based Hybrid Recommender System by Armielle Noulapeu Ngaffo, Walid El Ayeb, Zied Choukair

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ACHIEVING HIGH DEPENDABILITY OF AN ENDOSCOPY RECOMMENDER SYSTEM (ERS) by JAN ZIELIŃSKI, HENRYK KRAWCZYK

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A collaborative approach for research paper recommender system by Haruna, K., Ismail, M.A., Damiasih, D., Sutopo, J., Herawan, T.

“…Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. …”

A novel temporal trust-based recommender system by Moghaddam, Morteza Ghorbani, Elahian, Anousheh

“…While Collaborative Filtering (CF) recommender systems, which focus on previous indicate preferences, are known for their traditional problems such as cold-start, sparsity and modest accuracy, trust-based CF has been previously proposed to solve such issues by focusing on trust values among the users. …”
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Graph-powered recommendation engine in movie recommender system by Abdul Mutalib, Ratna Dewi, Hassan, Saadah, Chew, Yew Chong, Admodisastro, Novia Indriaty, Baharom, Salmi

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Data sets for offline evaluation of scholar's recommender system by Amini, B., Ibrahim, R., Othman, M. S.

“…In an offline evaluation of recommender systems, data sets have been extensively used to measure the performance of recommender systems through statistical analysis. …”

Multiview Fusion Using Transformer Model for Recommender Systems: Integrating the Utility Matrix and Textual Sources by Thi-Linh Ho, Anh-Cuong Le, Dinh-Hong Vu

Subjects: “…recommender system…”
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E-commerce and recommendation system for star bookstore / by Tang, Phooi Moon, 1991-, Halina Mohamed Dahlan, supervisor, Fakulti Komputeran

Destination recommendation systems : behavioural foundations and applications / by Werthner, H., 1954-, Wober, Karl W., Fesenmaier, Daniel R.

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Optimization of Recommender Systems Using Particle Swarms by Nancy Yaneth Gelvez Garcia, Jesús Gil-Ruíz, Jhon Fredy Bayona-Navarro

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Hybrid Approaches for Stocks Prediction and Recommendation System by Sharma Vikram, Rakhra Manik, Mathur Gauri

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Recipe Recommendation System Using TF-IDF by Chhipa Shubham, Berwal Vishal, Hirapure Tushar, Banerjee Soumi

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Towards the application of recommender systems to secure coding by Fitzroy D. Nembhard, Marco M. Carvalho, Thomas C. Eskridge

“…Formative testing and a usability study determined that surveyed participants strongly believed that a recommender system would help programmers write more secure code.…”
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