Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Attention-based transactional context embedding for next-item recommendation
To recommend the next item to a user in a transactional context is practical yet challenging
in applications such as marketing campaigns. Transactional context refers to the items that …
in applications such as marketing campaigns. Transactional context refers to the items that …
Large language models for intent-driven session recommendations
The goal of intent-aware session recommendation (ISR) approaches is to capture user
intents within a session for accurate next-item prediction. However, the capability of these …
intents within a session for accurate next-item prediction. However, the capability of these …
Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose routing networks
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. A
session-based recommender system (SBRS) suggests the next item by modeling the …
session-based recommender system (SBRS) suggests the next item by modeling the …
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
Session-based recommender systems (SBRSs) have shown superior performance over
conventional methods. However, they show limited scalability on large-scale industrial …
conventional methods. However, they show limited scalability on large-scale industrial …
Intention nets: psychology-inspired user choice behavior modeling for next-basket prediction
Human behaviors are complex, which are often observed as a sequence of heterogeneous
actions. In this paper, we take user choices for shop** baskets as a typical case to study …
actions. In this paper, we take user choices for shop** baskets as a typical case to study …