By a News Reporter-Staff News Editor at Computers, Networks & Communications -- Investigators discuss new findings in Information Technology - Information Systems. According to news reporting out of Tunis, Tunisia, by VerticalNews editors, research stated, “Recommender systems have recently been singled out as a fascinating area of research, owing to the technological progress in mobile devices, such as smartphones and tablets, as well as to the rapid growth of social networking. In this respect, the main purpose of recommender systems is to suggest items that help users to make decisions from a large number of possible actions such as what place to visit, what movie to watch, or which friend to add to a social network system.”
Our news journalists obtained a quote from the research from the Faculty of Sciences of Tunis, “In mobile environment, many personal, social and environmental contextual factors can be integrated into the recommendation process in order to provide the correct recommendation to a special user, at the perfect moment, in the appropriate location based on his/her emotional state, his/her current activity and past behavior. This paper provides an overview of context-aware recommender systems in mobile environment. The objective of this systematic review is to investigate the current state of the art in context-aware recommender systems and classify the reviewed research papers.”
According to the news editors, the research concluded: “This study aims equally to identify the possible future directions in this research area.”
For more information on this research see: Context-aware recommender systems in mobile environment: On the road of future research. Information Systems , 2017;72():27-61. Information Systems can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Information Systems - http://www.journals.elsevier.com/information-systems/)
Our news journalists report that additional information may be obtained by contacting I. Ben Sassi, Univ Tunis El Manor, Fac Sci Tunis, LIPAH LR 11E514, Tunis 2092, Tunisia. Additional authors for this research include S. Mellouli and S. Ben Yahia.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.is.2017.09.001. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-01-11), Findings from Faculty of Sciences of Tunis Yields New Findings on Information Systems (Context-aware recommender systems in mobile environment: On the road of future research), Computers, Networks & Communications, 215, ISSN: 1944-1568, BUTTER® ID: 014946276
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