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[HTML][HTML] A review on trust propagation and opinion dynamics in social networks and group decision making frameworks
On-line platforms foster the communication capabilities of the Internet to develop large-scale
influence networks in which the quality of the interactions can be evaluated based on trust …
influence networks in which the quality of the interactions can be evaluated based on trust …
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
develo** algorithms that generate recommendations. The resulting research progress has …
develo** algorithms that generate recommendations. The resulting research progress has …
[BOK][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 …
Edge weight prediction in weighted signed networks
S Kumar, F Spezzano… - 2016 IEEE 16th …, 2016 - ieeexplore.ieee.org
Weighted signed networks (WSNs) are networks in which edges are labeled with positive
and negative weights. WSNs can capture like/dislike, trust/distrust, and other social …
and negative weights. WSNs can capture like/dislike, trust/distrust, and other social …
Shine: Signed heterogeneous information network embedding for sentiment link prediction
In online social networks people often express attitudes towards others, which forms
massive sentiment links among users. Predicting the sign of sentiment links is a fundamental …
massive sentiment links among users. Predicting the sign of sentiment links is a fundamental …
Opinion leader detection: A methodological review
A social network as an essential communication platform facilitates the interactions of online
users. Based on the interactions, users can influence or be affected by the opinions of …
users. Based on the interactions, users can influence or be affected by the opinions of …
Link prediction in complex networks: A survey
L Lü, T Zhou - Physica A: statistical mechanics and its applications, 2011 - Elsevier
Link prediction in complex networks has attracted increasing attention from both physical
and computer science communities. The algorithms can be used to extract missing …
and computer science communities. The algorithms can be used to extract missing …
Internet research in psychology
SD Gosling, W Mason - Annual review of psychology, 2015 - annualreviews.org
Today the Internet plays a role in the lives of nearly 40% of the world's population, and it is
becoming increasingly entwined in daily life. This growing presence is transforming …
becoming increasingly entwined in daily life. This growing presence is transforming …
Recommender systems
The ongoing rapid expansion of the Internet greatly increases the necessity of effective
recommender systems for filtering the abundant information. Extensive research for …
recommender systems for filtering the abundant information. Extensive research for …
[BOK][B] Recommender systems: an introduction
In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …
what to buy, how to spend their leisure time, and even whom to date. Recommender …