Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms
Author:
Affiliation:
1. Comcast Applied AI Research Lab, Washington, DC, USA
2. University of Waterloo, Waterloo, ON, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3331184.3331433
Reference12 articles.
1. A. Awadallah R. Kulkarni U. Ozertem and R. Jones. 2015. Characterizing and Predicting Voice Query Reformulation. In CIKM. 543--552. 10.1145/2806416.2806491 A. Awadallah R. Kulkarni U. Ozertem and R. Jones. 2015. Characterizing and Predicting Voice Query Reformulation. In CIKM. 543--552. 10.1145/2806416.2806491
2. A taxonomy of web search
3. I. Guy. 2016. Searching by Talking: Analysis of Voice Queries on Mobile Web Search. In SIGIR . 35--44. 10.1145/2911451.2911525 I. Guy. 2016. Searching by Talking: Analysis of Voice Queries on Mobile Web Search. In SIGIR . 35--44. 10.1145/2911451.2911525
4. J. Jiang W. Jeng and D. He. 2013. How Do Users Respond to Voice Input Errors? Lexical and Phonetic Query Reformulation in Voice Search. In SIGIR. 143--152. 10.1145/2484028.2484092 J. Jiang W. Jeng and D. He. 2013. How Do Users Respond to Voice Input Errors? Lexical and Phonetic Query Reformulation in Voice Search. In SIGIR. 143--152. 10.1145/2484028.2484092
5. Talking to Your TV
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