Oct 29, 2019 · The key to MAS is a multi-head attention network which can distinguish the impact of users' friends when predicting users' preference on ...

The key to MAS is a multi-head attention network which can distinguish the impact of users' friends when predicting users' preference on different items.

The key to MAS is a multi-head attention network which can distinguish the impact of users' friends when predicting users' preference on different items. When ...

The key to MAS is a multi-head attention network which can distinguish the impact of users' friends when predicting users' preference on different items. When ...

To alleviate the data sparsity issue in CF, social recommendation has emerged by leveraging social influence among users for better recommendation performance.

In the user encoder, we learn representations of users from their browsed news and use multi-head self-attention to capture the relatedness between the news.

Jan 30, 2022 · We propose a novel time-aware attention mechanism to learn users' short-term interests by capturing contextual information and temporal signals simultaneously.

Jan 11, 2022 · Social recommender systems (SRS) aim to study how social relations influence users' choices and how to use them for better learning users ...

Aug 9, 2023 · We propose a novel approach called Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation (MAGNN-GC).

In this study, we discuss a new topic of next POI recommendation and present a deep attentive network for social-aware next POI recommendation called DAN-SNR.