Results 21 to 30 of about 66,899 (270)

Document Recommendations and Feedback Collection Analysis within the Slovenian Open-Access Infrastructure

open access: yesInformation, 2020
This paper presents a hybrid document recommender system intended for use in digital libraries and institutional repositories that are part of the Slovenian Open Access Infrastructure.
Mladen Borovič   +5 more
doaj   +1 more source

AN ONTOLOGY-BASED TOURISM RECOMMENDER SYSTEM BASED ON SPREADING ACTIVATION MODEL [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
A tourist has time and budget limitations; hence, he needs to select points of interest (POIs) optimally. Since the available information about POIs is overloading, it is difficult for a tourist to select the most appreciate ones considering preferences.
Z. Bahramian, R. Ali Abbaspour
doaj   +1 more source

Recommender system information trustworthiness: The role of perceived ability to learn, self-extension, and intelligence cues

open access: yesComputers in Human Behavior Reports, 2022
Making consumers trust in product descriptions provided by recommender systems is important for marketers, managers, and IT developers dealing with AI-based recommenders.
Wojciech Trzebiński, Beata Marciniak
doaj   +1 more source

Recommender Systems Based On Time and Trust Using Graph Based Community Detection [PDF]

open access: yesمطالعات مدیریت کسب و کار هوشمند, 2023
Recently, the Internet has played a significant and substantial role in people's lives. However, the content available in the global web environment should align with users' daily needs, providing them with useful and up-to-date information tailored to ...
Fatemeh Rezaimehr, Chitra Dadkhah
doaj   +1 more source

Recommender Systems for MOOCs: A Systematic Literature Survey (January 1, 2012 – July 12, 2019)

open access: yesInternational Review of Research in Open and Distributed Learning, 2020
In recent years, massive open online courses (MOOCs) have gained popularity with learners and providers, and thus MOOC providers have started to further enhance the use of MOOCs through recommender systems. This paper is a systematic literature review on
Asra Khalid   +2 more
doaj   +1 more source

Beyond Personalization: Research Directions in Multistakeholder Recommendation [PDF]

open access: yes, 2019
Recommender systems are personalized information access applications; they are ubiquitous in today's online environment, and effective at finding items that meet user needs and tastes.
Abdollahpouri, Himan   +7 more
core   +3 more sources

Generic system architecture for context-aware, distributed recommendation [PDF]

open access: yes, 2017
In the existing literature on recommender systems, it is difficult to find an architecture for large-scale implementation. Often, the architectures proposed in papers are specific to an algorithm implementation or a domain.
Shah, Neel Harish
core   +1 more source

Recommending Sources in News Recommender Systems

open access: yesProceedings of the 11th International Conference on Web Information Systems and Technologies, 2015
Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
Özgöbek Ö., Gulla J.A., Erdur R.C.
openaire   +2 more sources

Educational Recommendation System Utilizing Learning Styles: A Systematic Literature Review

open access: yesIEEE Access, 2023
Learning styles, learners’ preferred ways to learn, can be applied to design personalized learning courses for the individual learner. One of those applications is the recommender system.
Vivat Thongchotchat   +3 more
doaj   +1 more source

A recommender system for process discovery [PDF]

open access: yes, 2014
Over the last decade, several algorithms for process discovery and process conformance have been proposed. Still, it is well-accepted that there is no dominant algorithm in any of these two disciplines, and then it is often difficult to apply them ...
A. Rozinat   +8 more
core   +4 more sources

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