• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 24 matches

• 2024
• 
  Cai Yang, Sepehr Mousavi, Abhisek Dash, Krishna P. Gummadi, Ingmar Weber:
  Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction. WebSci (Companion) 2024: 51-52
• 
  Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi:
  Antitrust, Amazon, and Algorithmic Auditing. CoRR abs/2403.18623 (2024)
• 
  Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
  Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. CoRR abs/2407.01732 (2024)
• 
  Siddharth D. Jaiswal, Abhisek Dash, Nitika Shroff, Yashwanth Babu Vunnam, Saptarshi Ghosh, Animesh Mukherjee:
  Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages. CoRR abs/2407.14650 (2024)
• 
  Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee:
  Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. CoRR abs/2407.15810 (2024)
• 
  Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi:
  Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. CoRR abs/2407.19099 (2024)
• 2023
• 
  Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
  FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10(3): 1301-1313 (2023)
• 2022
• 
  Mithun Das, Abhisek Dash, Siddharth D. Jaiswal, Binny Mathew, Punyajoy Saha, Animesh Mukherjee:
  Platform Governance: Past, Present and Future. GetMobile Mob. Comput. Commun. 26(1): 14-20 (2022)
• 
  Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee:
  Mining the online infosphere: A survey. WIREs Data Mining Knowl. Discov. 12(5) (2022)
• 
  Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee:
  Two-Face: Adversarial Audit of Commercial Face Recognition Systems. ICWSM 2022: 381-392
• 
  Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
  Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW 2022: 3695-3705
• 
  Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
  Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. CoRR abs/2202.03934 (2022)
• 
  Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
  FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR abs/2204.00241 (2022)
• 2021
• 
  Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
  When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. FAccT 2021: 873-884
• 
  Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee:
  Mining the online infosphere: A survey. CoRR abs/2101.00454 (2021)
• 
  Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
  Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. CoRR abs/2101.12406 (2021)
• 
  Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
  When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. CoRR abs/2102.00141 (2021)
• 
  Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee:
  Two-Face: Adversarial Audit of Commercial Face Recognition Systems. CoRR abs/2111.09137 (2021)
• 2020
• 
  Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
  Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. IEEE BigData 2020: 3692-3701
• 2019
• 
  Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
  Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. Proc. ACM Hum. Comput. Interact. 3(CSCW): 172:1-172:28 (2019)
• 
  Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh:
  A Network-centric Framework for Auditing Recommendation Systems. INFOCOM 2019: 1990-1998
• 
  Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh:
  A Network-centric Framework for Auditing Recommendation Systems. CoRR abs/1902.02710 (2019)
• 2018
• 
  Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
  Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries. CoRR abs/1810.09147 (2018)
• 2016
• 
  Abhisek Dash, Sujoy Chatterjee, Tripti Prasad, Malay Bhattacharyya:
  Image Clustering without Ground Truth. CoRR abs/1610.07758 (2016)