An actor-critic based recommender system with context-aware user modeling
Sign Up to like & getrecommendations! Published in 2025 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-025-11134-9
Abstract: Recommendation systems empower users with tailored service assistance by learning about their interactions with systems and recommending items based on their preferences and interests. Typical recommender systems view the recommendation process as a static procedure… read more here.
Keywords: recommender; based recommender; recommender system; context aware ... See more keywords
An ontology-based hybrid e-learning content recommender system for alleviating the cold-start problem
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DOI: 10.1007/s10639-021-10508-0
Abstract: An e-learning recommender system (RS) aims to generate personalized recommendations based on learner preferences and goals. The existing RSs in the e-learning domain still exhibit drawbacks due to its inability to consider the learner characteristics… read more here.
Keywords: recommender system; start problem; ontology; cold start ... See more keywords
A tourism destination recommender system using users’ sentiment and temporal dynamics
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DOI: 10.1007/s10844-018-0496-5
Abstract: With the development and popularity of social networks, an increasing number of consumers prefer to order tourism products online, and like to share their experiences on social networks. Searching for tourism destinations online is a… read more here.
Keywords: tourism destination; recommender system; system;
Facilitating research through serendipity of recommendations
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01354-7
Abstract: Recommender systems are used to suggest items that are useful to users. The recommendations can be surprising and may be categorized as serendipitous recommendations. One of the limitations with serendipitous recommendations is that the user… read more here.
Keywords: recommender; recommender system; serendipity; serendipitous recommendations ... See more keywords
A hybrid recommender system for patron driven library acquisition and weeding
Sign Up to like & getrecommendations! Published in 2020 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2020.10.017
Abstract: Abstract Nowadays the explosion of information sources has shaped how library users access information and provide feedback on their preferences. Therefore, faced with this explosion and the blossoming of digital libraries, modern libraries must take… read more here.
Keywords: recommender; acquisition weeding; recommender system; patron driven ... See more keywords
Towards autonomy: A recommender system for the determination of trim and flight parameters for Seagliders
Sign Up to like & getrecommendations! Published in 2019 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2019.106338
Abstract: Abstract Currently, pilots maximise the performance of Seaglider underwater gliders by manually selecting their set-up parameters. Building on existing procedures based on the assumption of steady-state motions, a recommender system for the trim and flight… read more here.
Keywords: system; recommender system; trim flight; flight parameters ... See more keywords
Efficient clustering in collaborative filtering recommender system: Hybrid method based on genetic algorithm and gravitational emulation local search algorithm.
Sign Up to like & getrecommendations! Published in 2019 at "Genomics"
DOI: 10.1016/j.ygeno.2019.01.001
Abstract: The ultimate goal of the Recommender System (RS) is to offer a proposal that is very close to the user's real opinion. Data clustering can be effective in increasing the accuracy of production proposals by… read more here.
Keywords: collaborative filtering; algorithm; emulation local; recommender system ... See more keywords
Chemistry-informed recommender system to predict optimal molecular receptors in SERS nanosensors
Sign Up to like & getrecommendations! Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-62519-x
Abstract: Multiple molecular receptors amplify signal variance from various receptor–analyte interactions, enhancing the specificity of surface-enhanced Raman scattering (SERS) detection. Currently, the number and type of receptors are manually determined based on chemical intuition and trial-and-error… read more here.
Keywords: chemistry; molecular receptors; recommender system; chemistry informed ... See more keywords
Dynamic educational recommender system based on Improved LSTM neural network
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DOI: 10.1038/s41598-024-54729-y
Abstract: Nowadays, virtual learning environments have become widespread to avoid time and space constraints and share high-quality learning resources. As a result of human–computer interaction, student behaviors are recorded instantly. This work aims to design an… read more here.
Keywords: system; recommender system; educational recommender; dynamic educational ... See more keywords
An equity aware recommender system for university admissions balancing operational constraints and strategic objectives
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DOI: 10.1038/s41598-025-23116-6
Abstract: Institutions of higher education must balance multiple, often conflicting objectives when setting admission targets for their academic programs. In this paper, we introduce a recommendation system that integrates Constraint Satisfaction Problem (CSP) techniques, goal programming,… read more here.
Keywords: system; recommender system; equity aware; aware recommender ... See more keywords
Hybrid-based food recommender system utilizing KNN and SVD approaches
Sign Up to like & getrecommendations! Published in 2024 at "Cogent Engineering"
DOI: 10.1080/23311916.2024.2436125
Abstract: Abstract In the era of digital platforms and abundant data, food recommender systems have been essential tools for guiding individuals to discover preferences and perfect meals. Nowadays, the wide variety of available food options presents… read more here.
Keywords: recommender; system; recommender system; food recommender ... See more keywords