Privileged Features Distillation at Taobao Recommendations

no code implementations • 11 Jul 2019 • Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou

To guarantee the consistency of off-line training and on-line serving, we usually utilize the same features that are both available.

Personalized Re-ranking for Recommendation

1 code implementation • 15 Apr 2019 • Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou

Ranking is a core task in recommender systems, which aims at providing an ordered list of items to users.

Recommendation Systems Re-Ranking

Multi-Source Pointer Network for Product Title Summarization

no code implementations • 21 Aug 2018 • Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang

For the second constraint, we restore the key information by copying words from the knowledge encoder with the help of the soft gating mechanism.

Sentence Sentence Summarization

Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches

no code implementations • 29 Nov 2013 • Xudong Liu, Bing Xu, Yuyu Zhang, Qiang Yan, Liang Pang, Qiang Li, Hanxiao Sun, Bin Wang

The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness of hotels, user's aggregated purchase history and competitive online travel agency information for each potential hotel choice.

BIG-bench Machine Learning Feature Engineering