### Description <!--- Describe your expected feature in detail --> ### Expected behavior with the suggested feature <!--- For example: --> <!--- *Adding model ABC from paper XYZ. --> - [x] GPTop: including Global top frequent items, Personalized top frequent items, and both. https://dl.acm.org/doi/pdf/10.1145/3587153 - [x] [TIFUKNN: Modeling Personalized Item Frequency Information for Next-basket Recommendation](https://arxiv.org/pdf/2006.00556.pdf) - [ ] [Time-Dependent Next-Basket Recommendations (TIFUKNN-TA, TIFUKNN-TD)](https://link.springer.com/chapter/10.1007/978-3-031-28238-6_41) - [x] [Beacon: Correlation-Sensitive Next-Basket Recommendation](https://github.com/PreferredAI/beacon) - [x] [UP-CF@r: Recency aware collaborative filtering for next basket recommendation](https://dl.acm.org/doi/abs/10.1145/3340631.3394850) - [ ] [Dream: A Dynamic Recurrent Model for Next Basket Recommendation](https://dl.acm.org/doi/10.1145/2911451.2914683) - [ ] [Sets2Sets: Learning from Sequential Sets with Neural Networks](https://dl.acm.org/doi/10.1145/3292500.3330979) - [x] [DNNTSP: Predicting Temporal Sets with Deep Neural Networks](https://arxiv.org/pdf/2006.11483.pdf) - [ ] [CLEA: The world is binary: Contrastive learning for denoising next basket recommendation](https://dl.acm.org/doi/10.1145/3404835.3462836) - [ ] [M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation](https://paperswithcode.com/paper/m2pht-mixed-models-with-preferences-and) - [ ] [Time-Aware Item Weighting for the Next Basket Recommendations](https://paperswithcode.com/paper/time-aware-item-weighting-for-the-next-basket) - [ ] [Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping](https://paperswithcode.com/paper/masked-and-swapped-sequence-modeling-for-next) - [ ] [FPMC: Factorizing personalized markov chains for next-basket recommendation](https://dl.acm.org/doi/abs/10.1145/1772690.1772773), code: https://github.com/khesui/FPMC - [ ] [Personalized Category Frequency prediction for Buy It Again recommendations](https://dl.acm.org/doi/pdf/10.1145/3604915.3608822) - [ ] [ReCANet: A repeat consumption-aware neural network for next basket recommendation in grocery shopping](https://dl.acm.org/doi/abs/10.1145/3477495.3531708) - [ ] [DigBot: Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network](https://dl.acm.org/doi/abs/10.1145/3539618.3591742) - [ ] [BRL: Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation](https://www.ijcai.org/proceedings/2023/0268.pdf) - [ ] [MMNR: Multi-view Multi-aspect Neural Networks for Next-basket Recommendation](https://dl.acm.org/doi/abs/10.1145/3539618.3591738), code https://github.com/Hiiizhy/MMNR ### Other Comments
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Expected behavior with the suggested feature
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