Kuang-Chih Lee

Yahoo! - Yahoo! Research Labs

Santa Clara, CA 95054

United States

SCHOLARLY PAPERS

2

DOWNLOADS

123

SSRN CITATIONS

0

CROSSREF CITATIONS

0

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 123 (294,199)

Abstract:

Loading...

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
Arizona State University (ASU) - Department of Information Systems, University of Connecticut - Department of Operations & Information Management, 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:

Loading...

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