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Published in 2021 at "Education and Information Technologies"
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…
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Keywords:
recommender system;
start problem;
ontology;
cold start ... See more keywords
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Published in 2018 at "Journal of Intelligent Information Systems"
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…
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Keywords:
tourism destination;
recommender system;
system;
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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…
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Keywords:
recommender;
recommender system;
serendipity;
serendipitous recommendations ... See more keywords
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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…
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Keywords:
recommender;
acquisition weeding;
recommender system;
patron driven ... See more keywords
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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…
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Keywords:
system;
recommender system;
trim flight;
flight parameters ... See more keywords
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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…
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Keywords:
collaborative filtering;
algorithm;
emulation local;
recommender system ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3083583
Abstract: The rapid growth of COVID-19 publications has driven clinical researchers and healthcare professionals in pursuit to reduce the knowledge gap on reliable information for effective pandemic solutions. The manual task of retrieving high-quality publications based…
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Keywords:
evidence based;
evidence;
covid publication;
recommender system ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152528
Abstract: The electric grid has already been transitioned towards a more flexible, intelligent, and interactive grid system, i.e., Smart Grid (SG) for load management, energy prediction, higher penetration of renewable energy generation, future planning, and operations.…
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Keywords:
system;
renewable energy;
energy;
recommender system ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182390
Abstract: The user preference is dynamic and requires drift detection to capture changes for delivering relevant recommendations. A sequential recommender system with drift detection was proposed, where drift points are indicated by comparing characteristics of consecutive…
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Keywords:
preference;
item;
recommender system;
sequential recommender ... See more keywords
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2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3223663
Abstract: In the last decade, we have seen attention and scientific research in using technology, especially the mobile technology, in education. The critical effects of technology in child education are increasing motivation, the self-confidence of children…
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Keywords:
mobile technology;
recommender system;
educational status;
recommender ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3225190
Abstract: As people’s demand for eating out is steadily increasing, the number of restaurants is continuously increasing, and catering industry platforms such as Yelp, Open Table, and Zomato provide basic information and evaluation information of restaurants…
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Keywords:
information;
recommender system;
yelp com;
performance ... See more keywords