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SIGformer: Sign-aware Graph Transformer for Recommendation
In recommender systems, most graph-based methods focus on positive user feedback, while
overlooking the valuable negative feedback. Integrating both positive and negative feedback …
overlooking the valuable negative feedback. Integrating both positive and negative feedback …
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences
Recommendation unlearning is an emerging task to erase the influences of user-specified
data from a trained recommendation model. Most existing research follows the paradigm of …
data from a trained recommendation model. Most existing research follows the paradigm of …
Towards unified modeling for positive and negative preferences in sign-aware recommendation
Recently, sign-aware graph recommendation has drawn much attention as it will learn users'
negative preferences besides positive ones from both positive and negative interactions (ie …
negative preferences besides positive ones from both positive and negative interactions (ie …
Multi-relation graph contrastive learning with adaptive strategy for social recommendation
Y **a, Y Tang, B Yang, C Liu, Q Tao - Neurocomputing, 2025 - Elsevier
Numerous social recommendation models leverage user-item rating data (ie, collaborative
domain) and social connections (ie, social domain) to obtain users' preferences for …
domain) and social connections (ie, social domain) to obtain users' preferences for …