Recommender systems are typically biased toward a small group of users,
...
Federated learning (FL) is a distributed machine learning paradigm that ...
Federated learning (FL) collaboratively models user data in a decentrali...
Privacy-preserving cross-domain recommendation (PPCDR) refers to preserv...
As a basic research problem for building effective recommender systems,
...
Sequential Recommendation (SR) characterizes evolving patterns of user
b...
The ever-increasing data scale of user-item interactions makes it challe...
Cross-Domain Recommendation (CDR) has been popularly studied to utilize
...
Cross-Domain Recommendation (CDR) has been popularly studied to utilize
...
Counterfactual Regret Minimization (CFR) is a kind of regret minimizatio...
Counterfactual Regret Minimization (CFR) has achieved many fascinating
r...
Rolling Horizon Evolutionary Algorithms (RHEA) are a class of online pla...
The Region Connection Calculus (RCC) is a well-known calculus for
repres...
Originating from Allen's Interval Algebra, composition-based reasoning h...
The cardinal direction calculus (CDC) proposed by Goyal and Egenhofer is...
Direction relations between extended spatial objects are important
commo...