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  • August 2022
  • Article

What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features

By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset... View Details
Keywords: Sharing Economy; Airbnb; Property Demand; Computer Vision; Deep Learning; Image Feature Extraction; Content Engineering; Property; Marketing; Demand and Consumers
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  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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  • Article

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
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  • 08 Sep 2016
  • News

The Age of the Wordless Logo

  • Research Summary

One aspect of my research is highly quantitative, based on the construction and analysis of psychometric instruments, and another relies on the qualitative data obtained from the interview process. I look upon both psychometric and interview-derived data in terms of a... View Details
  • Research Summary

Corporate Reputation

By: Stephen A. Greyser
Stephen A. Greyser is undertaking an empirical analysis of corporate reputation based on interviews conducted by Opinion Research Corporation with more than four thousand executives in nineteen countries. His study is examining public awareness of, familiarity with,... View Details
  • 10 Dec 2018
  • HBS Seminar

Julianna Pillemer, Wharton, University of Pennsylvania

  • 26 Aug 2008
  • First Look

First Look: August 26, 2008

contribute to citations listed in issued patents—and that this could complicate interpretation of findings in this literature. In 2001 the U.S. Patent and Trademark Office (USPTO) began reporting examiner and applicant citations... View Details
Keywords: Sean Silverthorne

    American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers

    Existing full text datasets of U.S. public domain newspapers do not recognize the often complex layouts of newspaper scans, and as a result the digitized content scrambles texts from articles, headlines, captions, advertisements, and other layout regions. OCR quality... View Details
    • 13 Feb 2018
    • First Look

    New Research and Ideas, February 13, 2018

    lifelong, if sometimes veiled, engagement with Marx. The result is a work of interpretation that does justice to Hont’s influence while developing its own provocative and illuminating arguments. Markets, Morals, Politics will be a... View Details
    Keywords: Sean Silverthorne
    • 08 Jan 2019
    • First Look

    New Research and Ideas, January 8, 2019

    help him understand themes across the deals that can inform construction of new deals in the future. Topics include unsupervised learning; similarity and proximity; K-means clustering, with measures of Euclidean distance and cosine similarity; Gaussian mixture models;... View Details
    Keywords: Dina Gerdeman
    • 15 Oct 2008
    • First Look

    First Look: October 15, 2008

    therein), fairness can be restored if a sufficiently large amount of money is available for distribution/compensation as well. Interpreting the agents as the objects to be allocated, one might try to restore fairness for marriage markets... View Details
    Keywords: Martha Lagace
    • 06 May 2024
    • Research & Ideas

    The Critical Minutes After a Virtual Meeting That Can Build Up or Tear Down Teams

    mask, and what do you unveil?” In studying backstage interactions among employees working for a global company in the United States and China, Perlow found that team members in the two locations often interpreted what happened on the... View Details
    Keywords: by Michael Blanding
    • 26 Apr 2023
    • In Practice

    Is AI Coming for Your Job?

    ask for images of “a man,” it is very likely to create an image of a white man, likely because of the data on which it was trained. This issue of perpetuating biases raises a lot of interesting policy... View Details
    Keywords: by Kristen Senz; Technology
    • 04 Mar 2024
    • Research & Ideas

    Want to Make Diversity Stick? Break the Cycle of Sameness

    interpretation of the results, which is that we are identifying these human decision-making tendencies that explain why demographic change is so slow,” Chang says. “Once demographic change has happened, it’s much stickier than people... View Details
    Keywords: by Michael Blanding
    • 29 Jan 2013
    • First Look

    First Look: Jan. 29

    that help to explain the organizational influence of experts: their ability to (a) incorporate their expertise into highly communicable tools and (b) develop a personal involvement in the deployment and interpretation of those tools in... View Details
    Keywords: Sean Silverthorne
    • 19 Apr 2010
    • Research & Ideas

    The History of Beauty

    The industry's contribution was to turn these underlying trends into brands, create aspirations that drove their growing use, and then employ modern marketing methods to globalize them. I see beauty companies as interpreters of prevailing... View Details
    Keywords: by Sean Silverthorne; Beauty & Cosmetics
    • 03 Jun 2002
    • Research & Ideas

    How to Succeed With Your New Boss

    Your new boss will have more impact than anyone else over whether you succeed or fail. Your boss establishes benchmarks for your success, interprets your actions for other key players, and controls resources you need. Building a... View Details
    Keywords: by Michael Watkins
    • 22 Feb 2018
    • Book

    The New History of American Capitalism

    movements. Approaches vary greatly, but many scholars attend closely to the subjects who receive, impose, resist, or recast race as a category. Their work erodes the image of exchange between equally situated agents and locates it in a... View Details
    Keywords: Manufacturing
    • 03 May 2023
    • Research & Ideas

    Why Confronting Racism in AI 'Creates a Better Future for All of Us'

    turns out that the people who created the internet, primarily White men, didn’t classify or tag themselves as anything. This means that when you ask the AI system – which uses information up to the year 2020—to show an image of a white... View Details
    Keywords: by Barbara DeLollis