An overview of recommender systems in the healthy food domain
Recently, food recommender systems have received increasing attention due to their
relevance for healthy living. Most existing studies on the food domain focus on …
relevance for healthy living. Most existing studies on the food domain focus on …
Personalization in cultural heritage: the road travelled and the one ahead
Over the last 20 years, cultural heritage has been a favored domain for personalization
research. For years, researchers have experimented with the cutting edge technology of the …
research. For years, researchers have experimented with the cutting edge technology of the …
[图书][B] Recommender systems
CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
Recommender system application developments: a survey
A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …
recommendations to handle the increasing online information overload problem and …
Group recommendations with rank aggregation and collaborative filtering
L Baltrunas, T Makcinskas, F Ricci - … of the fourth ACM conference on …, 2010 - dl.acm.org
The majority of recommender systems are designed to make recommendations for
individual users. However, in some circumstances the items to be selected are not intended …
individual users. However, in some circumstances the items to be selected are not intended …
An introduction to recommender systems
CC Aggarwal, CC Aggarwal - Recommender systems: The textbook, 2016 - Springer
The increasing importance of the Web as a medium for electronic and business transactions
has served as a driving force for the development of recommender systems technology. An …
has served as a driving force for the development of recommender systems technology. An …
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 …
Group recommender systems: Combining individual models
J Masthoff - Recommender systems handbook, 2010 - Springer
This chapter shows how a system can recommend to a group of users by aggregating
information from individual user models and modelling the users affective state. It …
information from individual user models and modelling the users affective state. It …
Exploring social influence for recommendation: a generative model approach
Social friendship has been shown beneficial for item recommendation for years. However,
existing approaches mostly incorporate social friendship into recommender systems by …
existing approaches mostly incorporate social friendship into recommender systems by …
Psychology-informed recommender systems
Personalized recommender systems have become indispensable in today's online world.
Most of today's recommendation algorithms are data-driven and based on behavioral data …
Most of today's recommendation algorithms are data-driven and based on behavioral data …