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Kuang-Chih Lee

Yahoo! - Yahoo! Research Labs

Santa Clara, CA 95054

United States

SCHOLARLY PAPERS

2

DOWNLOADS

474

TOTAL CITATIONS

3

Scholarly Papers (2)

1.

Optimal Bidding, Allocation, and Budget Spending for a Demand-Side Platform with Generic Auctions

Number of pages: 61 Posted: 12 May 2021
Paul Grigas, Alfonso Lobos, Zheng Wen and Kuang-Chih Lee
UC Berkeley, University of California, Berkeley - Department of Industrial Engineering and Operations Research, Google DeepMind and Yahoo! - Yahoo! Research Labs
Downloads 474 (150,331)
Citation 3

Abstract:

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online advertising, real-time bidding, budget constraints, convex optimization

2.

Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach

MIS Quarterly 44(4), pp. 1459-1492.
Posted: 26 Aug 2016 Last Revised: 27 Oct 2021
College of Business, Korea Advanced Institute of Science and Technology (KAIST), University of Florida - Warrington College of Business Administration, University of British Columbia (UBC) - Sauder School of Business, University of Texas at Austin - Department of Information, Risk and Operations Management, Yahoo! - Yahoo! Research Labs and Yahoo! - Yahoo! Research Labs

Abstract:

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semantic content analysis, social media, online advertisement, customer engagement, deep learning, topic modeling, Big Data, representation learning, machine learning, Tumblr