A hierarchical attention model for social contextual image recommendation
Image based social networks are among the most popular social networking services in
recent years. With a tremendous amount of images uploaded everyday, understanding …
recent years. With a tremendous amount of images uploaded everyday, understanding …
An attribute-aware attentive GCN model for attribute missing in recommendation
As important side information, attributes have been widely exploited in the existing
recommender system for better performance. However, in the real-world scenarios, it is …
recommender system for better performance. However, in the real-world scenarios, it is …
Graph-augmented co-attention model for socio-sequential recommendation
A sequential recommendation has become a hot research topic, which seeks to predict the
next interesting item for each user based on his action sequence. While previous methods …
next interesting item for each user based on his action sequence. While previous methods …
A review on matrix factorization techniques in recommender systems
Growth of the Internet and web applications has led to vast amount of information over web.
Information filtering systems such as Recommenders have become potential tools to deal …
Information filtering systems such as Recommenders have become potential tools to deal …
A social commerce purchasing decision model with trust network and item review information
T Wu, R Zhang, X Liu, F Liu, Y Ding - Knowledge-Based Systems, 2022 - Elsevier
Shopping without much experience on target items is not unusual in social commerce (s-
commerce). Inexperienced users are often influenced by user reviews when making …
commerce). Inexperienced users are often influenced by user reviews when making …
A tourism destination recommender system using users' sentiment and temporal dynamics
With the development and popularity of social networks, an increasing number of consumers
prefer to order tourism products online, and like to share their experiences on social …
prefer to order tourism products online, and like to share their experiences on social …
Hyperbolic Graph Learning for Social Recommendation
Social recommendation provides an auxiliary social network structure to enhance
recommendation performances. By formulating user-user social network and user-item …
recommendation performances. By formulating user-user social network and user-item …
A deep neural network-based collaborative filtering using a matrix factorization with a twofold regularization
A Noulapeu Ngaffo, Z Choukair - Neural computing and applications, 2022 - Springer
In recent years, the ever-growing contents (movies, clothes, books, etc.) accessible and
buyable via the Internet have led to the information overload issue and therefore the item …
buyable via the Internet have led to the information overload issue and therefore the item …
FeatureMF: an item feature enriched matrix factorization model for item recommendation
Matrix Factorization (MF) is one of the most successful Collaborative Filtering (CF)
techniques used in recommender systems due to its effectiveness and ability to deal with …
techniques used in recommender systems due to its effectiveness and ability to deal with …
[图书][B] Social data analytics
This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …