Social network data to alleviate cold-start in recommender system: A systematic review
LAG Camacho, SN Alves-Souza - Information Processing & Management, 2018 - Elsevier
Recommender Systems are currently highly relevant for helping users deal with the
information overload they suffer from the large volume of data on the web, and automatically …
information overload they suffer from the large volume of data on the web, and automatically …
Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks
With the rapid growth of population on social networks, people are confronted with
information overload problem. This clearly makes filtering the targeted users a demanding …
information overload problem. This clearly makes filtering the targeted users a demanding …
Introducing hybrid technique for optimization of book recommender system
M Chandak, S Girase, D Mukhopadhyay - Procedia Computer Science, 2015 - Elsevier
E-Commerce has already entered into the Indian market for online shopping. People are
more inclined towards online shopping which has changed the complete market scenario …
more inclined towards online shopping which has changed the complete market scenario …
Promoting the performance of vertical recommendation systems by applying new classification techniques
Recommender systems (RSs) have proven to be valuable means for online users to cope
with the information overload and have become one of the most powerful and popular tools …
with the information overload and have become one of the most powerful and popular tools …
Analyzing social roles based on a hierarchical model and data mining for collective decision-making support
With the popularity of social networking services (SNSs) and the increase of users,
individuals' social roles in a social network have become more and more important in terms …
individuals' social roles in a social network have become more and more important in terms …
User Model‐Based Personalized Recommendation Algorithm for News Media Education Resources
Z Shilin - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Traditional recommendations for news and media education resources usually ignore the
importance of sequential patterns in user check‐in behavior and fail to effectively capture the …
importance of sequential patterns in user check‐in behavior and fail to effectively capture the …
A survey of recommendation systems: Datasets, evaluation methods, and application domains
Recommendation systems (RS) play a crucial role in assisting individuals in making suitable
selections from an extensive array of products or services. This significantly mitigates the …
selections from an extensive array of products or services. This significantly mitigates the …
Efficient machine learning model for movie recommender systems using multi-cloud environment
K Indira, MK Kavithadevi - Mobile Networks and Applications, 2019 - Springer
A recommender system or a recommendation system is a subclass of information filtering
system which in turn predicts the “preference” or “ratings” which a user would provide to the …
system which in turn predicts the “preference” or “ratings” which a user would provide to the …
User‐level microblogging recommendation incorporating social influence
With the information overload of user‐generated content in microblogging, users find it
extremely challenging to browse and find valuable information in their first attempt. In this …
extremely challenging to browse and find valuable information in their first attempt. In this …
A robust collaborative recommendation algorithm based on k-distance and Tukey M-estimator
H Yi, F Zhang, J Lan - China Communications, 2014 - ieeexplore.ieee.org
The existing collaborative recommendation algorithms have lower robustness against
shilling attacks. With this problem in mind, in this paper we propose a robust collaborative …
shilling attacks. With this problem in mind, in this paper we propose a robust collaborative …