Chang Tan
Marketing · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Marketing — 5 citations into it
Whom Chang Tan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chang Tan's perspective
Ordered by how strongly the researchers Chang Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting clicks: estimating the click-through rate for new ads (The Web Conference)
- Real-time bidding for online advertising: measurement and analysis (International Workshop on Data Mining for Online Advertising)
- Optimal real-time bidding for display advertising (Knowledge Discovery and Data Mining)
- Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine
- The Online Advertising Industry: Economics, Evolution, and Privacy
- Online Display Advertising: Targeting and Obtrusiveness (Marketing science (Providence, R.I.))
- Pattern recognition
- Truthful auctions for pricing search keywords (ACM Conference on Economics and Computation)
- Collaborative filtering recommender systems
- Greedy function approximation: A gradient boosting machine.
Their papers
- Optimized Cost per Click in Taobao Display Advertising (2017) — 171 citations