A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search

Author:

Wang Huimu1ORCID,Li Mingming1ORCID,Miao Dadong1ORCID,Wang Songlin1ORCID,Tang Guoyu1ORCID,Liu Lin1ORCID,Xu Sulong1ORCID,Hu Jinghe1ORCID

Affiliation:

1. JD.com, Beijing, China

Publisher

ACM

Reference19 articles.

1. Learning a Deep Listwise Context Model for Ranking Refinement

2. Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Chi, Elad Eban, Xiyang Luo, Alan Mackey, and Ofer Meshi. 2018. Seq2slate: Re-ranking and slate optimization with rnns. arXiv preprint arXiv:1810.02019 (2018).

3. The use of MMR, diversity-based reranking for reordering documents and producing summaries

4. Laming Chen, Guoxin Zhang, and Eric Zhou. 2018. Fast greedy map inference for determinantal point process to improve recommendation diversity. Advances in Neural Information Processing Systems , Vol. 31 (2018).

5. Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, and Wenwu Ou. 2021. End-to-End User Behavior Retrieval in Click-Through Rate Prediction Model. arXiv preprint arXiv:2108.04468 (2021).

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