Next-basket recommendation
2개 벤치마크 · 논문 18편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation
Papers
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
In next basket recommendation (NBR) a set of items is recommended to users based on their historical basket sequences. In many domains, the recommended baskets consist of both repeat items and explore items. Some state-o…
DiversityFairnessNext-basket recommendationSAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation
Transformer-based approaches such as BERT4Rec and SASRec demonstrate strong performance in Next Item Recommendation (NIR) tasks. However, applying these architectures to Next-Basket Recommendation (NBR) tasks, which ofte…
Next-basket recommendationA Universal Sets-level Optimization Framework for Next Set Recommendation
Next Set Recommendation (NSRec), encompassing related tasks such as next basket recommendation and temporal sets prediction, stands as a trending research topic. Although numerous attempts have been made on this topic, t…
DiversityNext-basket recommendationBasket-Enhanced Heterogenous Hypergraph for Price-Sensitive Next Basket Recommendation
Next Basket Recommendation (NBR) is a new type of recommender system that predicts combinations of items users are likely to purchase together. Existing NBR models often overlook a crucial factor, which is price, and do …
Next-basket recommendationRecommendation SystemsAre We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
Next basket recommendation (NBR) is a special type of sequential recommendation that is increasingly receiving attention. So far, most NBR studies have focused on optimizing the accuracy of the recommendation, whereas op…
DiversityFairnessNavigateNext-basket recommendation+1[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation
This paper focuses on reproducing and extending the results of the paper: "Modeling Personalized Item Frequency Information for Next-basket Recommendation" which introduced the TIFU-KNN model and proposed to utilize Pers…
FairnessNext-basket recommendation