Journal Article10.1609/aimag.v32i3.2364
Context-Aware Recommender Systems
Gediminas Adomavicius,Bamshad Mobasher,F. Ricci,Alexander Tuzhilin +3 more
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TL;DR: An overview of the multifaceted notion of context is provided, several approaches for incorporating contextual information in recommendation process are discussed, and the usage of such approaches in several application areas where different types of contexts are exploited are illustrated.
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Abstract: Context-aware recommender systems (CARS) generate more relevant recommendations by adapting them to the specific contextual situation of the user. This article explores how contextual information can be used to create more intelligent and useful recommender systems. It provides an overview of the multifaceted notion of context, discusses several approaches for incorporating contextual information in recommendation process, and illustrates the usage of such approaches in several application areas where different types of contexts are exploited. The article concludes by discussing the challenges and future research directions for context-aware recommender systems.
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Citations
A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks
TL;DR: The recent hybrid CF-based recommendation techniques fusing social networks to solve data sparsity and high dimensionality are introduced and provide a novel point of view to improve the performance of RS, thereby presenting a useful resource in the state-of-the-art research result for future researchers.
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Making Decisions about Privacy: Information Disclosure in Context-Aware Recommender Systems
Bart P. Knijnenburg,Alfred Kobsa +1 more
TL;DR: A unified approach to privacy decision research is described that describes the cognitive processes involved in users’ “privacy calculus” in terms of system-related perceptions and experiences that act as mediating factors to information disclosure.
Exploiting Internet of Things information to enhance venues’ recommendation accuracy
Dionisis Margaris,Costas Vassilakis +1 more
- 14 Aug 2017
TL;DR: This paper introduces a novel recommendation algorithm, which exploits data sourced from web services provided by the Internet of Things in order to produce more accurate venue recommendations and presents a framework which incorporates the above characteristics.
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Context-aware media recommendations for smart devices
Abayomi Moradeyo Otebolaku,Maria Teresa Andrade +1 more
- 01 Feb 2015
TL;DR: Experimental evaluations demonstrate that context-aware recommendation techniques can provide better efficacy than the traditional approaches, and evaluations of the underlying context recognition process show that its power consumption is within an acceptable range.
Integrating context-awareness and multi-criteria decision making in educational learning
Yong Zheng,Shephalika Shekhar,Alisha Anna Jose,Sunil Kumar Rai +3 more
- 08 Apr 2019
TL;DR: This paper makes the first attempt to integrate context-awareness and multi-criteria decision making in the recommender systems by using the educational data as a case study and experimental results reveal that it is able to help produce more accurate recommendations by taking advantage of these two recommendation strategies.
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