Search Results for author: Mantian Li

Found 2 papers, 0 papers with code

Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems

no code implementations1 Sep 2017 Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan

This paper proposes Telepath, a vision-based bionic recommender system model, which understands users from such perspective.

Recommendation Systems

LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions

no code implementations18 Aug 2017 Yu Wang, Jiayi Liu, Yuxiang Liu, Jun Hao, Yang He, Jinghe Hu, Weipeng P. Yan, Mantian Li

We present LADDER, the first deep reinforcement learning agent that can successfully learn control policies for large-scale real-world problems directly from raw inputs composed of high-level semantic information.

Cannot find the paper you are looking for? You can Submit a new open access paper.