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A literature review of recommender systems in the television domain
Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions of relevant items to users. These systems have received increasing attention …
suggestions of relevant items to users. These systems have received increasing attention …
A survey on group recommender systems
Recommender systems are increasingly used in various domains like movies, travel, music,
etc. The rise in social activities has increased the usage of recommender systems in general …
etc. The rise in social activities has increased the usage of recommender systems in general …
Personalized hybrid recommendation for group of users: Top-N multimedia recommender
Nowadays, the increasing demand for group recommendations can be observed. In this
paper we address the problem of recommendation performance for groups of users (group …
paper we address the problem of recommendation performance for groups of users (group …
A POI group recommendation method in location-based social networks based on user influence
Group recommendation has attracted researchers' attention in various domains, specifically
such approaches utilizing location-based social networks (LBSNs). However, point of …
such approaches utilizing location-based social networks (LBSNs). However, point of …
Recommending new items to ephemeral groups using contextual user influence
Group recommender systems help groups of users in finding appropriate items to be
enjoyed together. Lots of activities, like watching TV or going to the restaurant, are …
enjoyed together. Lots of activities, like watching TV or going to the restaurant, are …
Group recommendation using feature space representing behavioral tendency and power balance among members
S Seko, T Yagi, M Motegi, S Muto - … of the fifth ACM conference on …, 2011 - dl.acm.org
This paper proposes an algorithm to estimate appropriate or novel content for groups of
people who know each other such as friends, couples, and families. To achieve high …
people who know each other such as friends, couples, and families. To achieve high …
Learning to distinguish multi-user coupling behaviors for tv recommendation
This paper is concerned with TV recommendation, where one major challenge is the
coupling behavior issue that the behaviors of multiple users are coupled together and not …
coupling behavior issue that the behaviors of multiple users are coupled together and not …
Automatically detecting groups using locality-sensitive hashing in group recommendations
Recommender systems provide personalized content from various choices by mining users'
past preferences. Recommendation helps to overcome the information overload problem as …
past preferences. Recommendation helps to overcome the information overload problem as …
Context-aware group recommendation for point-of-interests
Group recommendation generates a ranked list of recommendations for a group of users.
Point-of-interests (POIs) group recommendation aims to suggest the most agreeable …
Point-of-interests (POIs) group recommendation aims to suggest the most agreeable …
Recent trends in recommender systems: a survey
In an era where the number of choices is overwhelming on the internet, it is crucial to filter,
prioritize and deliver relevant information to a user. A recommender system addresses this …
prioritize and deliver relevant information to a user. A recommender system addresses this …