A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systems

2014 ◽  
pp. 47-75 ◽  
Author(s):  
Stefan Dietze ◽  
Hendrik Drachsler ◽  
Daniela Giordano
Keyword(s):  
Recommender Systems ◽  
Linked Data ◽  
Social Web ◽  
The Social

Workshop on recommender systems and the social web

2009 ◽  
Author(s):  
Dietmar Jannach ◽  
Werner Geyer ◽  
Casey Dugan ◽  
Jill Freyne ◽  
Sarabjot Singh Anand ◽  
...  
Keyword(s):  
Recommender Systems ◽  
Social Web ◽  
The Social

3rd workshop on recommender systems and the social web

2011 ◽  
Author(s):  
Jill Freyne ◽  
Sarabjot Singh Anand ◽  
Ido Guy ◽  
Andreas Hotho
Keyword(s):  
Recommender Systems ◽  
Social Web ◽  
The Social

Recommender Systems for the Social Web

2012 ◽  
Author(s):  
José J. Pazos Arias ◽  
Ana Fernández Vilas ◽  
Rebeca P. Díaz Redondo
Keyword(s):  
Recommender Systems ◽  
Social Web ◽  
The Social

scholarly journals Recommendation in the Social Web

AI Magazine ◽  
2011 ◽  
Vol 32 (3) ◽  
pp. 46 ◽  
Author(s):  
Robin Burke ◽  
Jonathan Gemmell ◽  
Andreas Hotho ◽  
Robert Jäschke
Keyword(s):  
Recommender Systems ◽  
Web Applications ◽  
Social Web ◽  
Research Directions ◽  
The Social ◽  
Twitter Users ◽  
Social Applications ◽  
The Impact ◽  
Personal Media ◽  
The Way

Recommender systems are a means of personalizing the presentation of information to ensure that users see the items most relevant to them. The social web has added new dimensions to the way people interact on the Internet, placing the emphasis on user-generated content. Users in social networks create photos, videos and other artifacts, collaborate with other users, socialize with their friends and share their opinions online. This outpouring of material has brought increased attention to recommender systems, as a means of managing this vast universe of content. At the same time, the diversity and complexity of the data has meant new challenges for researchers in recommendation. This article describes the nature of recommendation research in social web applications and provides some illustrative examples of current research directions and techniques. It is difficult to overstate the impact of the social web. This new breed of social applications is reshaping nearly every human activity from the way people watch movies to how they overthrow governments. Facebook allows its members to maintain friendships whether they live next door or on another continent. With Twitter, users from celebrities to ordinary folks can launch their 140 character messages out to a diverse horde of ‘‘followers.” Flickr and YouTube users upload their personal media to share with the world, while Wikipedia editors collaborate on the world’s largest encyclopedia.

2nd workshop on recommender systems and the social web

2010 ◽  
Author(s):  
Werner Geyer ◽  
Jill Freyne ◽  
Bamshad Mobasher ◽  
Sarabjot Singha Anand ◽  
Casey Dugan
Keyword(s):  
Recommender Systems ◽  
Social Web ◽  
The Social

The sixth ACM RecSys workshop on recommender systems and the social web

2014 ◽  
Author(s):  
Dietmar Jannach ◽  
Jill Freyne ◽  
Werner Geyer ◽  
Ido Guy ◽  
Andreas Hotho ◽  
...  
Keyword(s):  
Recommender Systems ◽  
Social Web ◽  
The Social
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