Aggregation of preference relations to enhance the ranking quality of collaborative filtering based group recommender system
A Pujahari, DS Sisodia - Expert Systems with Applications, 2020 - Elsevier
The recommendation of suitable products/items for a group of users has always been a
difficult task. Most of the recommender systems are designed for individual use only …
difficult task. Most of the recommender systems are designed for individual use only …
Preference relation based collaborative filtering with graph aggregation for group recommender system
A Pujahari, DS Sisodia - Applied Intelligence, 2021 - Springer
Most of the group recommender systems (GRS) apply some aggregation strategy to the
ratings given by the group members for generating recommendations. But this can be highly …
ratings given by the group members for generating recommendations. But this can be highly …
[PDF][PDF] 融合影响力传播的社交网络群推荐方法
叶佳鑫， 熊回香， 易明， 刘明 - 情报学报, 2022 - qbxb.istic.ac.cn
摘要在社交网络中, 以用户群体作为服务对象来进行个性化推荐服务, 能有效提升推荐效率.
已有的研究在进行群推荐时大多仅考虑用户群体的整体兴趣, 忽视了群体中用户间的相互影响 …
已有的研究在进行群推荐时大多仅考虑用户群体的整体兴趣, 忽视了群体中用户间的相互影响 …
Toward trustworthy social network services: A robust design of recommender systems
G Noh, H Oh, K Lee, C Kim - Journal of Communications and …, 2015 - ieeexplore.ieee.org
In recent years, electronic commerce and online social networks (OSNs) have experienced
fast growth, and as a result, recommendation systems (RSs) have become extremely …
fast growth, and as a result, recommendation systems (RSs) have become extremely …
Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems
Recommender Systems are a subclass of information retrieval systems, or more succinctly, a
class of information filtering systems that seeks to predict how close is the match of the user's …
class of information filtering systems that seeks to predict how close is the match of the user's …
Preference relation based collaborative filtering with graph aggregation for group recommender system
P Abinash, SD Singh - Applied Intelligence, 2021 - search.proquest.com
Most of the group recommender systems (GRS) apply some aggregation strategy to the
ratings given by the group members for generating recommendations. But this can be highly …
ratings given by the group members for generating recommendations. But this can be highly …
Emotion Aware Recommender Systems
JK Leung - 2021 - search.proquest.com
Recommender Systems help users to overcome information overload by making predictions
and recommendations that meet users' tastes and preferences. A user's mood influences …
and recommendations that meet users' tastes and preferences. A user's mood influences …
Gaussian Iteration: A Novel Way to Collaborative Filtering
X Li, F Li, Y Guo, J Huang - … , ICIC 2016, Lanzhou, China, August 2-5, 2016 …, 2016 - Springer
Based on the missing not at random assumption and central limit theorem, this paper
presents a novel way to accelerate the iteration speed in the collaborative filtering models …
presents a novel way to accelerate the iteration speed in the collaborative filtering models …