no code implementations • COLING 2022 • Mengru Wang, Jianming Zheng, Fei Cai, Taihua Shao, Honghui Chen
Specifically, DRK adopts a logic-aware inference module to ease the word-overlap confusion, which introduces a logic rule to constrain the inference process, thereby avoiding the adverse effect of shallow text features.
1 code implementation • 12 Dec 2023 • Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
Then, we introduce a penalty to items with high exposure probability to avoid the overestimation of user preference for biased samples.
no code implementations • 28 Jun 2023 • Yupu Guo, Fei Cai, Xin Zhanga, Jianming Zhenga, Honghui Chena
In specific, DB-VAE first extracts two types of extreme items only affected by a single bias based on the collier theory, which are respectively employed to learn the latent representation of corresponding biases, thereby realizing the bias decoupling.
no code implementations • 16 May 2023 • Siyuan Wang, Jianming Zheng, Xuejun Hu, Fei Cai, Chengyu Song, Xueshan Luo
Event detection (ED) is aimed to identify the key trigger words in unstructured text and predict the event types accordingly.
no code implementations • COLING 2020 • Jianming Zheng, Fei Cai, Yanxiang Ling, Honghui Chen
Existing work cannot well represent the heterogeneous relations and capture the discontinuous event segments that are common in the event chain.
no code implementations • CIKM 2020 • Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke
The proposed SGNN-HN applies a star graph neural network (SGNN) to model the complex transition relationship between items in an ongoing session.
Ranked #1 on Session-Based Recommendations on yoochoose1/64
no code implementations • 9 May 2020 • Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke
We employ a modified self-attention mechanism to estimate item importance in a session, which is then used to predict user's long-term preference.
no code implementations • 26 Sep 2019 • Jianming Zheng, Fei Cai, Honghui Chen, Maarten de Rijke
We introduce the concept of interaction and propose a two-perspective interaction representation, that encapsulates a local and a global interaction representation.
1 code implementation • 27 Aug 2019 • Wanyu Chen, Pengjie Ren, Fei Cai, Maarten de Rijke
Then, we design an Intent-aware Diversity Promoting (IDP) loss to supervise the learning of the IIM module and force the model to take recommendation diversity into consideration during training.
3 code implementations • 8 Jul 2019 • Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
Deep feature learning extracts feature representations of users and items with a deep learning architecture based on a user-item rating matrix.