Results 21 to 30 of about 85,662 (301)

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

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

Enhanced information retrieval using domain-specific recommender models [PDF]

open access: yes, 2011
The objective of an information retrieval (IR) system is to retrieve relevant items which meet a user information need. There is currently significant interest in personalized IR which seeks to improve IR effectiveness by incorporating a model of the ...
Ganguly, Debasis   +2 more
core   +2 more sources

Real-Time Recommendation of Streamed Data [PDF]

open access: yes, 2015
This tutorial addressed two trending topics in the field of recommender systems research, namely A/B testing and real-time recommendations of streamed data.
Heintz, Tobias   +3 more
core   +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

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

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

Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems [PDF]

open access: yes, 2018
In this paper, we present sequeval, a software tool capable of performing the offline evaluation of a recommender system designed to suggest a sequence of items.
Monti, Diego   +3 more
core   +4 more sources

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