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Next-basket recommendation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 2
보존된 평가 기록: 2

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/0xeeff/amnesiac_recsys

공식 코드

Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items

https://github.com/BoPeng112/M2

공식 코드

M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation

https://github.com/HaojiHu/TIFUKNN

공식 코드

Modeling Personalized Item Frequency Information for Next-basket Recommendation

https://github.com/alexeyromanov-hse/time_aware_item_weighting

공식 코드

Time-Aware Item Weighting for the Next Basket Recommendations

https://github.com/anon-ecir-nbr/saferec

공식 코드

SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation

https://github.com/hiyuening/bdhh

공식 코드

Basket-Enhanced Heterogenous Hypergraph for Price-Sensitive Next Basket Recommendation

https://github.com/liming-7/a-next-basket-recommendation-reality-check

공식 코드

A Next Basket Recommendation Reality Check

https://github.com/liming-7/mask-swap-nnbr

공식 코드

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping

https://github.com/lynecho/repbias_nbr

공식 코드

Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation

https://github.com/pimpraat/recsysproject

공식 코드

[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation

https://github.com/BoPeng112/PPT

M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation

https://github.com/ninglab/M2

M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation

https://github.com/pmleffers/TIFUKNN

Modeling Personalized Item Frequency Information for Next-basket Recommendation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.