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- February 2009 (Revised June 2014)
- Teaching Note
Ad Classification at Right Media
By: Benjamin Edelman
Teaching Note for [909032]. View Details
- December 2008 (Revised June 2009)
- Case
Ad Classification at Right Media
By: Benjamin Edelman
Right Media considers systems and policies to make sure that ads are only shown on web sites where they are appropriate, and vice versa. Setting standards is particularly challenging given the large and growing marketplace, the numerous participants, their diverse... View Details
Keywords: Digital Marketing; Governing Rules, Regulations, and Reforms; Policy; Market Participation; Standards; Internet and the Web
Edelman, Benjamin. "Ad Classification at Right Media." Harvard Business School Case 909-032, December 2008. (Revised June 2009.) (request a courtesy copy.)
- 2010
- Article
On the Classification of Type II Codes of Length 24
By: Noam D. Elkies and Scott Duke Kominers
We give a new, purely coding-theoretic proof of Koch's criterion on the tetrad systems of Type II codes of length 24 using the theory of harmonic weight enumerators. This approach is inspired by Venkov's approach to the classification of the root systems of Type II... View Details
Keywords: Mathematical Methods
Elkies, Noam D., and Scott Duke Kominers. "On the Classification of Type II Codes of Length 24." SIAM Journal on Discrete Mathematics 23, no. 4 (2010).
- December 2010
- Supplement
Ad Classification at Right Media — slide supplement
By: Benjamin Edelman
Right Media considers systems and policies to make sure that ads are only shown on web sites where they are appropriate, and vice versa. Setting standards is particularly challenging given the large and growing marketplace, the numerous participants, their diverse... View Details
- January 1982
- Article
Empirical Analysis of the Commercial Loan Classification Decision
By: Robert S. Kaplan and J. Richard Dietrich
Kaplan, Robert S., and J. Richard Dietrich. "Empirical Analysis of the Commercial Loan Classification Decision." Accounting Review 57 (January 1982): 18–38.
- February 2021
- Article
Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning
By: Sooji Ha, Daniel J Marchetto, Sameer Dharur and Omar Isaac Asensio
The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions.... View Details
Keywords: Natural Language Processing; Analytics and Data Science; Environmental Sustainability; Infrastructure; Transportation; Policy
Ha, Sooji, Daniel J Marchetto, Sameer Dharur, and Omar Isaac Asensio. "Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning." Art. 100195. Patterns 2, no. 2 (February 2021).
- June 2014
- Supplement
Ad Classification at Right Media — slide supplement (widescreen)
By: Benjamin Edelman
Right Media considers systems and policies to make sure that ads are only shown on web sites where they are appropriate, and vice versa. Setting standards is particularly challenging given the large and growing marketplace, the numerous participants, their diverse... View Details
- December 2010
- Supplement
Ad Classification at Right Media — pre-class slides — supplement
By: Benjamin Edelman
Right Media considers systems and policies to make sure that ads are only shown on web sites where they are appropriate, and vice versa. Setting standards is particularly challenging given the large and growing marketplace, the numerous participants, their diverse... View Details
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- 2024
- Working Paper
The Financial Anatomy of Climate Solutions: A Large Language Model Approach to Company Classification and Analysis
By: Shirley Lu and George Serafeim
Leveraging advancements in large language models (LLM), we study the financial characteristics of firms offering climate solutions-products and services aimed at fostering a transition to a low-carbon economy. We use a new measure that applies LLM to 10-K Item 1... View Details
Keywords: Climate; Climate Finance; Innovation; Technology; Financial Statement Analysis; AI and Machine Learning; Climate Change; Environmental Sustainability; Analysis; Financial Statements
Lu, Shirley, and George Serafeim. "The Financial Anatomy of Climate Solutions: A Large Language Model Approach to Company Classification and Analysis." Harvard Business School Working Paper, No. 25-026, August 2024.
- Article
On the Causality and Cause of Returns to Organizational Status: Evidence from the Grands Crus Classés of the Médoc
By: Daniel Malter
This paper identifies the causal symbolic effect of status on the prices organizations charge for their products. I exploit the classification of the châteaux of the Médoc, which sorted 61 wine producers into five growth classes in 1855, as a fixed hierarchical symbol... View Details
Keywords: Organizational Status; Quality Signals; Conspicuous Consumption; Wine Classification Of 1855; Grand Cru; Status and Position; Quality; Reputation; Price; France
Malter, Daniel. "On the Causality and Cause of Returns to Organizational Status: Evidence from the Grands Crus Classés of the Médoc." Administrative Science Quarterly 59, no. 2 (June 2014): 271–300.
- Article
Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR website, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Perception; Internet and the Web; Investment
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Journal of Financial Economics 116, no. 2 (May 2015): 410–431.
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- December 2016
- Article
Industry Window Dressing
By: Huaizhi Chen, Lauren Cohen and Dong Lou
We explore a new mechanism by which investors take correlated shortcuts and present evidence that managers undertake actions—in the form of sales management—to take advantage of these shortcuts. Specifically, we exploit a regulatory provision wherein a firm’s primary... View Details
Keywords: Investor Shortcuts; Industry Classification; Opportunistic Managerial Behavior; Discontinuity; Management Practices and Processes; Investment; Sales
Chen, Huaizhi, Lauren Cohen, and Dong Lou. "Industry Window Dressing." Review of Financial Studies 29, no. 12 (December 2016): 3354–3393.
- 2017
- Working Paper
Machine Learning Methods for Strategy Research
By: Mike Horia Teodorescu
Numerous applications of machine learning have gained acceptance in the field of strategy and management research only during the last few years. Established uses span such diverse problems as strategic foreign investments, strategic resource allocation, systemic risk... View Details
Keywords: Machine Learning; Natural Language Processing; Classification; Decision Trees; Strategic Decisions; Strategy; Research; Information Technology
Teodorescu, Mike Horia. "Machine Learning Methods for Strategy Research." Harvard Business School Working Paper, No. 18-011, August 2017. (Revised October 2017.)
- 2014
- Working Paper
Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
- February 1996
- Background Note
Note on the FDA Review Process for Medical Devices
Describes the FDA's classification scheme for the three classes of medical devices and the review processes. View Details
Keywords: Business and Government Relations; Medical Devices and Supplies Industry; Public Administration Industry; United States
Teisberg, Elizabeth O., and James Leonard. "Note on the FDA Review Process for Medical Devices." Harvard Business School Background Note 796-063, February 1996.
- December 1990 (Revised June 1993)
- Background Note
Price Discrimination
This note, which is introductory in nature, provides a classification scheme for some of the more common examples of price discrimination. For each case that is discussed, the note characterizes the appropriate market segments, the alternative product "versions," and... View Details
Dhebar, Anirudh S. "Price Discrimination." Harvard Business School Background Note 191-105, December 1990. (Revised June 1993.)
- 2009
- Article
On Universal Binary Hermitian Forms
Earnest and Khosravani, Iwabuchi, and Kim and Park recently gave a complete classification of the universal binary Hermitian forms. We give a unified proof of the universalities of these Hermitian forms, relying upon Ramanujan's list of universal quadratic forms... View Details
Keywords: Mathematical Methods
Kominers, Scott Duke. "On Universal Binary Hermitian Forms." A02. INTEGERS: Electronic Journal of Combinatorial Number Theory 9 (2009): 9–15.
- 19 Nov 2014
- Working Paper Summaries