Shawndra Hill

Microsoft Research

Senior Researcher

New York, NY 10011

United States

SCHOLARLY PAPERS

8

DOWNLOADS
Rank 32,916

SSRN RANKINGS

Top 32,916

in Total Papers Downloads

1,339

CITATIONS

5

Scholarly Papers (8)

1.

Viral Marketing: Identifying Likely Adopters Via Consumer Networks

NYU Working Paper No. 2451/14128
Number of pages: 38 Posted: 09 Oct 2008
Shawndra Hill, Foster Provost and Chris Volinsky
Microsoft Research, New York University and affiliation not provided to SSRN
Downloads 436 (64,743)
Citation 40

Abstract:

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Viral marketing, word-of-mouth marketing, target marketing

2.

TV's Dirty Little Secret: The Negative Effect of Popular TV on Online Retail Sales

Number of pages: 41 Posted: 22 May 2014
Oliver Hinz, Shawndra Hill and Ju-Young Kim
Goethe University Frankfurt - Faculty of Economics and Business Administration, Microsoft Research and Goethe University Frankfurt - Faculty of Economics and Business Administration
Downloads 248 (121,643)
Citation 1

Abstract:

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Media Cross Effects, Second Screen, Two-Sided Markets, Electronic Commerce, Online Auctions, Attention Economy, Instrumental Variable Approach

3.

Television and Digital Advertising: Second Screen Response and Coordination with Sponsored Search

Number of pages: 31 Posted: 27 Jan 2017
Shawndra Hill, Gordon Burtch and Michael Barto
Microsoft Research, University of Minnesota - Twin Cities - Carlson School of Management and Microsoft Corporation
Downloads 176 (168,409)

Abstract:

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mobile; paid search advertising; search engines; search volumes; click-through rates; conversion rates; television advertising; di erences in di erences

Intelligent Assistance for the Data Mining Process: an Ontology-Based Approach

NYU Working Paper No. 2451/14156
Number of pages: 41 Posted: 13 Oct 2008
Abraham Bernstein, Shawndra Hill and Foster Provost
University of Zurich - Dynamic and Distributed Information Systems Group, Microsoft Research and New York University
Downloads 106 (253,027)

Abstract:

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Data mining, data-mining process, intelligent assistants, knowledge discovery

Intelligent Assistance for the Data Mining Process: an Ontology-Based Approach

NYU Working Paper No. 2451/14146
Number of pages: 41 Posted: 13 Oct 2008
Abraham Bernstein, Shawndra Hill and Foster Provost
University of Zurich - Dynamic and Distributed Information Systems Group, Microsoft Research and New York University
Downloads 63 (348,282)

Abstract:

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Data mining, data-mining process, intelligent assistants, knowledge discovery

5.

Building an Effective Representation for Dynamic Networks

NYU Working Paper No. 2451/14127
Number of pages: 33 Posted: 09 Oct 2008
Shawndra Hill, Deepak Agarwal and Chris Volinsky
Microsoft Research, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 149 (194,189)
Citation 4

Abstract:

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approximate subgraphs, dynamic graphs, exponential averaging, fraud detection, transactional data streams

Discovering Knowledge from Relational Data Extracted from Business News

NYU Working Paper No. 2451/14157
Number of pages: 15 Posted: 13 Oct 2008
University of Zurich - Dynamic and Distributed Information Systems Group, affiliation not provided to SSRN, Microsoft Research, IBM Corporation - Thomas J. Watson Research Center and New York University
Downloads 75 (316,240)
Citation 4

Abstract:

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Discovering Knowledge from Relational Data Extracted from Business News

NYU Working Paper No. 2451/14147
Number of pages: 15 Posted: 13 Oct 2008
University of Zurich - Dynamic and Distributed Information Systems Group, affiliation not provided to SSRN, Microsoft Research, IBM Corporation - Thomas J. Watson Research Center and New York University
Downloads 41 (423,705)

Abstract:

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7.

The Influence of Context on Online Shopping Behavior: The Case of Concurrent TV Consumption

Number of pages: 41 Posted: 03 Feb 2018 Last Revised: 21 Sep 2018
Oliver Hinz, Shawndra Hill and Amit Sharma
Goethe University Frankfurt - Faculty of Economics and Business Administration, Microsoft Research and Cornell University
Downloads 45 (400,611)

Abstract:

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Online Sales, TV, Second Screening, Contextual Information, Personalization, Attention Economy, Instrumental Variable Approach

8.

Talkographics: Using What Viewers Say Online to Calculate Audience Affinity Networks for Social TV-Based Recommendations

Posted: 04 Jun 2013 Last Revised: 06 Sep 2015
Shawndra Hill and Adrian Benton
Microsoft Research and University of Pennsylvania

Abstract:

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Text Mining, Social Media, Brand Audience