Search Results - "Padmanabhan, Balaji"

A complex systems perspective of news recommender systems: Guiding emergent outcomes with feedback models by Prawesh, Shankar, Padmanabhan, Balaji

“…Algorithms are increasingly making decisions regarding what news articles should be shown to online users. In recent times, unhealthy outcomes from these…”
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Usability of Health Care Price Transparency Data in the United States: Mixed Methods Study by Maleki, Negar, Padmanabhan, Balaji, Dutta, Kaushik

“…Increasing health care expenditure in the United States has put policy makers under enormous pressure to find ways to curtail costs. Starting January 1, 2021,…”
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The Effect of Monetary Incentives on Health Care Social Media Content: Study Based on Topic Modeling and Sentiment Analysis by Maleki, Negar, Padmanabhan, Balaji, Dutta, Kaushik

“…While there is high-quality online health information, a lot of recent work has unfortunately highlighted significant issues with the health content on social…”
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How does social media sentiment impact mass media sentiment? A study of news in the financial markets by Ren, Jie, Dong, Hang, Padmanabhan, Balaji, Nickerson, Jeffrey V.

“…Mass media sentiment of financial news significantly influences investment decisions of investors. Hence, studying how this sentiment emerges is important. In…”
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On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities by Padmanabhan, Balaji, Tuzhilin, Alexander

“…Previous work on the solution to analytical electronic customer relationship management (eCRM) problems has used either data–mining (DM) or optimization…”
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Physical and electrochemical properties of alkaline earth doped, rare earth vanadates by Adijanto, Lawrence, Balaji Padmanabhan, Venu, Holmes, Kevin J., Gorte, Raymond J., Vohs, John M.

“…The effect of partial substitution of alkaline earth (AE) ions, Sr2+ and Ca2+, for the rare earth (RE) ions, La3+, Ce3+, Pr3+, and Sm3+, on the physical…”
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GHIC: a hierarchical pattern-based clustering algorithm for grouping Web transactions by Yang, Y., Balaji Padmanabhan

“…Grouping customer transactions into segments may help understand customers better. The marketing literature has concentrated on identifying important…”
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Pattern discovery, validation, and online experiments: a methodology for discovering television shows for public health announcements by Barfar, Arash, Padmanabhan, Balaji

“…Abstract Objective Public Health Announcements (PHAs) on television are a means of raising awareness about risk behaviors and chronic conditions. PHAs’ scarce…”
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Learning individual preferences from aggregate data: A genetic algorithm for discovering baskets of television shows with affinities to political and social interests by Padmanabhan, Balaji, Barfar, Arash

“…•A framework based on genetic and multi-objective evolutionary algorithms is proposed.•The framework estimates user political preferences from unlabeled TV…”
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The “Most Popular News” Recommender: Count Amplification and Manipulation Resistance by Prawesh, Shankar, Padmanabhan, Balaji

“…A broad motivation for our research is to build manipulation resistant news recommender systems. There are several algorithms that can be used to generate news…”
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Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions by Bouayad, Lina, Ialynytchev, Anna, Padmanabhan, Balaji

“…A new generation of user-centric information systems is emerging in health care as patient health record (PHR) systems. These systems create a platform…”
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Peak cubes in service operations: Bringing multidimensionality into decision support systems by Barfar, Arash, Padmanabhan, Balaji, Hevner, Alan

“…Companies like Ritz Carlton, Disney and Verizon are among many who have invested in analytics to improve their customers' service experiences with the firms…”
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Applying behavioral economics in predictive analytics for B2B churn: Findings from service quality data by Barfar, Arash, Padmanabhan, Balaji, Hevner, Alan

“…Motivated by the long-standing debate on rationality in behavioral economics and the potential of theory-driven predictive analytics, this paper examines the…”
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Do social features help in video-centric online learning platforms? A social presence perspective by Andel, Stephanie A., de Vreede, Triparna, Spector, Paul E., Padmanabhan, Balaji, Singh, Vivek K., de Vreede, Gert-Jan

“…The popularity of online learning is growing exponentially. Accordingly, it is critical to understand how we can facilitate the learning experience for users…”
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How are social and mass media different in relation to the stock market? A study on topic coverage and predictive value by Dong, Hang, Ren, Jie, Padmanabhan, Balaji, Nickerson, Jeffrey V.

“…•This paper compares social media with mass media in relation to the stock market.•Social media covers less stocks than mass media.•This effect is amplified as…”
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Multimedia Appendix Correction: Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions by Bouayad, Lina, Ialynytchev, Anna, Padmanabhan, Balaji

“…Related Article Correction of: https://www.jmir.org/2017/11/e388…”
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Managing Digital Platforms with Robust Multi-Sided Recommender Systems by Malgonde, Onkar S., Zhang, He, Padmanabhan, Balaji, Limayem, Moez

“…Digital platforms have replaced traditional markets in most industries and orchestrate socioeconomic aspects of our lives. We address the problem of negative…”
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Deep Learning for Information Systems Research by Samtani, Sagar, Zhu, Hongyi, Padmanabhan, Balaji, Chai, Yidong, Chen, Hsinchun, Nunamaker, Jay F.

“…Modern artificial intelligence (AI) is heavily reliant on deep learning (DL), an emerging class of algorithms that can automatically detect non-trivial…”
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Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda by Ketter, Wolfgang, Padmanabhan, Balaji, Pant, Gautam, Raghu, T. S.

“…There is both a need and an opportunity to develop analytics-driven approaches to address many significant challenges facing society. Toward this end, this…”
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Predicting Presidential Election Outcomes from What People Watch by Barfar, Arash, Padmanabhan, Balaji

“…In a recent article by Barfar and Padmanabhan (2015), we demonstrated how television viewership data could predict presidential election outcomes in the United…”
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