Context-Aware Techniques for Cross-Domain Recommender Systems

2015 ◽  
Author(s):  
Douglas Veras ◽  
Ricardo Prudencio ◽  
Carlos Ferraz ◽  
Alysson Bispo ◽  
Thiago Prota
Keyword(s):  
Recommender Systems ◽  
Context Aware ◽  
Cross Domain

CD-CARS: Cross-domain context-aware recommender systems

2019 ◽  
Vol 135 ◽  
pp. 388-409 ◽  
Author(s):  
Douglas Véras ◽  
Ricardo Prudêncio ◽  
Carlos Ferraz
Keyword(s):  
Recommender Systems ◽  
Context Aware ◽  
Cross Domain

Advanced Recommender Systems

2019 ◽  
pp. 299-311 ◽  
Author(s):  
Young Park
Keyword(s):  
Recommender Systems ◽  
Future Research ◽  
Context Aware ◽  
Research Topics ◽  
Systematic Overview ◽  
Cross Domain ◽  
Group Recommender Systems ◽  
Group Recommender

This chapter presents a brief and systematic overview of four major advanced recommender systems: group recommender systems, context-aware recommender systems, multi-criteria recommender systems, and cross-domain recommender systems. These advanced recommendations are characterized and compared in a unifying model as extensions of basic recommender systems. Future research topics and directions in the area of advanced personalized recommendations are discussed. Advanced recommender technologies will continue to advance.

Context-Aware Recommender Systems

2012 ◽  
Vol 23 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Li-Cai WANG ◽  
Xiang-Wu MENG ◽  
Yu-Jie ZHANG
Keyword(s):  
Recommender Systems ◽  
Context Aware

scholarly journals Context-aware recommender systems and cultural heritage: a survey

2021 ◽  
Author(s):  
Mario Casillo ◽  
Francesco Colace ◽  
Dajana Conte ◽  
Marco Lombardi ◽  
Domenico Santaniello ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Recommender Systems ◽  
Context Awareness ◽  
Technological Development ◽  
Context Aware ◽  
Human Beings ◽  
Context Analysis ◽  
Analysis Techniques ◽  
The Right ◽  
Technological Improvements

AbstractIn the Big Data era, every sector has adapted to technological development to service the vast amount of information available. In this way, each field has benefited from technological improvements over the years. The cultural and artistic field was no exception, and several studies contributed to the aim of the interaction between human beings and artistic-cultural heritage. In this scenario, systems able to analyze the current situation and recommend the right services play a crucial role. In particular, in the Recommender Systems field, Context-Awareness helps to improve the recommendations provided. This article aims to present a general overview of the introduction of Context analysis techniques in Recommender Systems and discuss some challenging applications to the Cultural Heritage field.

Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems

2014 ◽  
Author(s):  
Camila V. Sundermann ◽  
Marcos A. Domingues ◽  
Ricardo M. Marcacini ◽  
Solange O. Rezende
Keyword(s):  
Recommender Systems ◽  
Context Aware ◽  
Privileged Information

scholarly journals Tags and Item Features as a Bridge for Cross-Domain Recommender Systems

2018 ◽  
Vol 125 ◽  
pp. 624-631 ◽  
Author(s):  
Ashish K. Sahu ◽  
Pragya Dwivedi ◽  
Vibhor Kant
Keyword(s):  
Recommender Systems ◽  
Cross Domain

Context-Aware Recommender Systems Influenced by the Users’ Health-Related Data

2013 ◽  
pp. 153-173 ◽  
Author(s):  
Martín López-Nores ◽  
Yolanda Blanco-Fernández ◽  
José J. Pazos-Arias ◽  
Manuela I. Martín-Vicente
Keyword(s):  
Recommender Systems ◽  
Context Aware ◽  
Related Data ◽  
Health Related
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