User control in recommender systems: Overview and interaction challenges
Recommender systems have shown to be valuable tools that help users find items of interest
in situations of information overload. These systems usually predict the relevance of each …
in situations of information overload. These systems usually predict the relevance of each …
Community detection in social recommender systems: a survey
Abstract Information extracted from social network services promise to improve the accuracy
of recommender systems in various domains. Against this background, community detection …
of recommender systems in various domains. Against this background, community detection …
Inspectability and control in social recommenders
Users of social recommender systems may want to inspect and control how their social
relationships influence the recommendations they receive, especially since …
relationships influence the recommendations they receive, especially since …
Facebook single and cross domain data for recommendation systems
The emergence of social networks and the vast amount of data that they contain about their
users make them a valuable source for personal information about users for recommender …
users make them a valuable source for personal information about users for recommender …
Make it personal: a social explanation system applied to group recommendations
Recommender systems help users to identify which items from a variety of choices best
match their needs and preferences. In this context, explanations act as complementary …
match their needs and preferences. In this context, explanations act as complementary …
Collaborative topic regression with social trust ensemble for recommendation in social media systems
Social media systems provide ever-growing huge volumes of information for dissemination
and communication among communities of users, while recommender systems aim to …
and communication among communities of users, while recommender systems aim to …
A social recommender system by combining social network and sentiment similarity: A case study of healthcare
D Yang, C Huang, M Wang - Journal of Information Science, 2017 - journals.sagepub.com
Social recommender systems aim to support user preferences and help users make better
decisions in social media. The social network and the social context are two vital elements in …
decisions in social media. The social network and the social context are two vital elements in …
Factors influencing intentions to use social recommender systems: A social exchange perspective
TS Chang, WH Hsiao - Cyberpsychology, Behavior, and Social …, 2013 - liebertpub.com
This study employs the perspective of social exchange theory and seeks to understand
users' intentions to use social recommender systems (SRS) through three psychological …
users' intentions to use social recommender systems (SRS) through three psychological …
Identifying opportunities for valuable encounters: Toward context-aware social matching systems
Mobile social matching systems have the potential to transform the way we make new social
ties, but only if we are able to overcome the many challenges that exist as to how systems …
ties, but only if we are able to overcome the many challenges that exist as to how systems …
Recommendations based on social links
The goal of this chapter is to give an overview of recent works on the development of social
link-based recommender systems and to offer insights on related issues, as well as future …
link-based recommender systems and to offer insights on related issues, as well as future …