Multistakeholder recommendation: Survey and research directions
Recommender systems provide personalized information access to users of Internet
services from social networks to e-commerce to media and entertainment. As is appropriate …
services from social networks to e-commerce to media and entertainment. As is appropriate …
Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges
Over the past two decades, a large amount of research effort has been devoted to
developing algorithms that generate recommendations. The resulting research progress has …
developing algorithms that generate recommendations. The resulting research progress has …
Explaining recommendations: Design and evaluation
N Tintarev, J Masthoff - Recommender systems handbook, 2015 - Springer
In recent years, there has been an increased interest in more user-centered evaluation
metrics for recommender systems such as those mentioned in [49]. It has also been …
metrics for recommender systems such as those mentioned in [49]. It has also been …
Evaluating the effectiveness of explanations for recommender systems: Methodological issues and empirical studies on the impact of personalization
N Tintarev, J Masthoff - User Modeling and User-Adapted Interaction, 2012 - Springer
When recommender systems present items, these can be accompanied by explanatory
information. Such explanations can serve seven aims: effectiveness, satisfaction …
information. Such explanations can serve seven aims: effectiveness, satisfaction …
Merging trust in collaborative filtering to alleviate data sparsity and cold start
Providing high quality recommendations is important for e-commerce systems to assist users
in making effective selection decisions from a plethora of choices. Collaborative filtering is a …
in making effective selection decisions from a plethora of choices. Collaborative filtering is a …
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and
Twitter are perhaps the exemplars of a new generation of social, real-time web services and …
Twitter are perhaps the exemplars of a new generation of social, real-time web services and …
Social media recommendation based on people and tags
We study personalized item recommendation within an enterprise social media application
suite that includes blogs, bookmarks, communities, wikis, and shared files …
suite that includes blogs, bookmarks, communities, wikis, and shared files …
Social recommender systems
The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …
recommender systems (ie, recommender systems for the social web). Participants will …
Personalized recommendation of social software items based on social relations
We study personalized recommendation of social software items, including bookmarked
web-pages, blog entries, and communities. We focus on recommendations that are derived …
web-pages, blog entries, and communities. We focus on recommendations that are derived …
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation
There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …
people have an overwhelming number of available options to choose from, eg products to …