TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations.
Zijian LiRuichu CaiFengzhu WuSili ZhangHao GuYuexing HaoYuguang YanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- main contribution
- recommender systems
- computer vision
- lightweight
- spatio temporal
- case study
- database systems
- image sequences
- search algorithm
- clustering algorithm
- website
- query processing
- data model
- probabilistic model
- collaborative filtering
- decision making
- real time
- temporal information
- user feedback
- framework enables