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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...
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Keywords:
Sharing Economy;
Airbnb;
Property Demand;
Computer Vision;
Deep Learning;
Image Feature Extraction;
Content Engineering;
Property;
Marketing;
Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- 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...
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Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- 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...
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Keywords:
Artificial Intelligence;
Diagnosis;
Computer-assisted;
Image Interpretation;
Machine Learning;
Radiography;
Panoramic Radiograph;
AI and Machine Learning
Endres, Michael G., 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. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- 08 Sep 2016
- News
The Age of the Wordless Logo
- Working Paper
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
Celebrities have extraordinary abilities to attract and influence others. Predicting celebrity visual potential is important in the domains of business, politics, media, and entertainment. Can we use human faces to predict celebrity visual potential? If so, which...
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Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." SSRN Working Paper Series, No. 4071188, November 2023.
- 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...
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- Research Summary
Corporate Reputation
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,...
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- 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...
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Keywords:
Sean Silverthorne
- 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...
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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;...
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Keywords:
Dina Gerdeman
- Web
Curriculum - MBA
molecular pathology techniques, state of the art image analysis of human biomarkers, tissue processing, immunohistochemistry, and tumor histology. The epidemiology, genetics, and relevant signal transduction pathways of cancer will be...
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- 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...
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Keywords:
Martha Lagace
- 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...
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- 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...
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by Michael Blanding
- 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...
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Keywords:
by Barbara DeLollis
- 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...
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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...
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- 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...
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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...
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Keywords:
Manufacturing