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- Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
- SIGIR
- 2010
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is semantic hashing which… (More)
- Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
- AAAI
- 2017
As a new way of training generative models, Generative Adversarial Net (GAN) that uses a discriminative model to guide the training of the generative model has enjoyed considerable success in… (More)
- Johan A. Pouwelse, Pawel Garbacki, +7 authors Henk J. Sips
- Concurrency and Computation: Practice and…
- 2008
Most current P2P file sharing systems treat their users as anonymous, unrelated entities, and completely disregard any social relationships between them. However, social phenomena such as friendship… (More)
- Jun Wang, Jianhan Zhu
- SIGIR
- 2009
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are dependent between each… (More)
- Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
- SIGIR
- 2006
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large number of ratings… (More)
- Weinan Zhang, Shuai Yuan, Jun Wang
- KDD
- 2014
In this paper we study bid optimisation for real-time bidding (RTB) based display advertising. RTB allows advertisers to bid on a display ad impression in real time when it is being generated. It… (More)
- Jun Wang, Lantao Yu, +5 authors Dell Zhang
- SIGIR
- 2017
This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval focusing on predicting relevant documents given a query, and the… (More)
- Weinan Zhang, Tianming Du, Jun Wang
- ECIR
- 2016
Predicting user responses, such as click-through rate and conversion rate, are critical in many web applications including web search, personalised recommendation, and online advertising. Different… (More)
- Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
- ECIR
- 2010
A promising way to accelerate similarity search is semantic hashing which designs compact binary codes for a large number of documents so that semantically similar documents are mapped to similar… (More)
- Xiaoxue Zhao, Weinan Zhang, Jun Wang
- CIKM
- 2013
In this paper, we study collaborative filtering (CF) in an interactive setting, in which a recommender system continuously recommends items to individual users and receives interactive feedback.… (More)