Personalized human computation
Significant effort in machine learning and information retrieval has been devoted to identifying personalized content such as recommendations and search results. Personalized human computation has the potential to go beyond existing techniques like collaborative filtering to provide personalized re...
Main Authors: | Organisciak, Peter, Teevan, Jaime, Dumais, Susan, Miller, Robert C., Kalai, Adam Tauman |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Association for the Advancement of Artificial Intelligence
2014
|
Online Access: | http://hdl.handle.net/1721.1/90817 https://orcid.org/0000-0002-0442-691X |
Similar Items
-
Matching and Grokking: Approaches to Personalized Crowdsourcing
by: Organisciak, Peter, et al.
Published: (2017) -
Attacks on the Fiat-Shamir paradigm and program obfuscation
by: Tauman Kalai, Yael
Published: (2006) -
Supporting finding and re-finding through personalization
by: Teevan, Jaime B. (Jaime Brooks), 1976-
Published: (2007) -
Analysis of Perceptron-Based Active Learning
by: Dasgupta, Sanjoy, et al.
Published: (2005) -
No-Signaling Proofs with O(sqrt(log n)) Provers Is in PSPACE
by: Holden, Dhiraj, et al.
Published: (2022)