Quoc Viet Hung Nguyen
7 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
-
AIR: Attentional Intention-Aware Recommender Systems
2019
The capability of extracting sequential patterns from the user-item interaction data is now becoming a key feature of recommender systems. Though it is important to capture the sequential effect, existing methods only focus on modelling …
-
Enhancing Collaborative Filtering with Generative Augmentation
2019
Collaborative filtering (CF) has become one of the most popular and widely used methods in recommender systems, but its performance degrades sharply for users with rare interaction data. Most existing hybrid CF methods try to …
-
Adapting to User Interest Drift for POI Recommendation
2016 · IEEE Transactions on Knowledge and Data Engineering
Point-of-Interest recommendation is an essential means to help people discover attractive locations, especially when people travel out of town or to unfamiliar regions. While a growing line of research has focused on modeling user geographical …
-
Joint Event-Partner Recommendation in Event-Based Social Networks
2018
With the prevalent trend of combining online and offline interactions among users in event-based social networks (EBSNs), event recommendation has become an essential means to help people discover new interesting events to attend. However, existing …
-
Streaming Ranking Based Recommender Systems
2018
Studying recommender systems under streaming scenarios has become increasingly important because real-world applications produce data continuously and rapidly. However, most existing recommender systems today are designed in the context of an offline setting. Compared with …
-
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
2020 · Proceedings of the AAAI Conference on Artificial Intelligence
Point-of-Interest (POI) recommendation has been a trending research topic as it generates personalized suggestions on facilities for users from a large number of candidate venues. Since users' check-in records can be viewed as a long …
-
Are Graph Augmentations Necessary?
2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Contrastive learning (CL) recently has spurred a fruitful line of research in the field of recommendation, since its ability to extract self-supervised signals from the raw data is well-aligned with recommender systems' needs for tackling …