Follow
Shuo Chang
Title
Cited by
Cited by
Year
“Blissfully Happy” or “Ready toFight”: Varying Interpretations of Emoji
HJ Miller, J Thebault-Spieker, S Chang, I Johnson, L Terveen, B Hecht
Tenth international AAAI conference on web and social media, 2016
4302016
" I need to try this"? a statistical overview of pinterest
E Gilbert, S Bakhshi, S Chang, L Terveen
Proceedings of the SIGCHI conference on human factors in computing systems†…, 2013
1942013
Evolution of experts in question answering communities
A Pal, S Chang, J Konstan
Proceedings of the International AAAI Conference on Web and Social Media 6†…, 2012
1432012
Specialization, homophily, and gender in a social curation site: Findings from Pinterest
S Chang, V Kumar, E Gilbert, LG Terveen
Proceedings of the 17th ACM conference on Computer supported cooperative†…, 2014
1162014
Routing questions for collaborative answering in community question answering
S Chang, A Pal
2013 IEEE/ACM International Conference on Advances in Social Networks†…, 2013
1062013
Crowd-based personalized natural language explanations for recommendations
S Chang, FM Harper, LG Terveen
Proceedings of the 10th ACM conference on recommender systems, 175-182, 2016
912016
Dynamic on-demand lightpath provisioning using spectral defragmentation in flexible bandwidth networks
K Wen, Y Yin, DJ Geisler, S Chang, SJB Yoo
European Conference and Exposition on Optical Communications, Mo. 2. K. 4, 2011
892011
Putting users in control of their recommendations
FM Harper, F Xu, H Kaur, K Condiff, S Chang, L Terveen
Proceedings of the 9th ACM Conference on Recommender Systems, 3-10, 2015
832015
Using Groups of Items for Preference Elicitation in Recommender Systems
S Chang, FM Harper, L Terveen
Proceedings of the 18th ACM Conference on Computer Supported Cooperative†…, 2015
65*2015
Understanding how people use natural language to ask for recommendations
J Kang, K Condiff, S Chang, JA Konstan, L Terveen, FM Harper
Proceedings of the Eleventh ACM Conference on Recommender Systems, 229-237, 2017
452017
Gaze prediction for recommender systems
Q Zhao, S Chang, FM Harper, JA Konstan
Proceedings of the 10th ACM Conference on Recommender Systems, 131-138, 2016
452016
Demonstration of spectral defragmentation in flexible bandwidth optical networking by FWM
DJ Geisler, Y Yin, K Wen, NK Fontaine, RP Scott, S Chang, SJB Yoo
IEEE Photonics Technology Letters 23 (24), 1893-1895, 2011
402011
AppGrouper: Knowledge-based interactive clustering tool for app search results
S Chang, P Dai, L Hong, C Sheng, T Zhang, EH Chi
Proceedings of the 21st International Conference on Intelligent User†…, 2016
282016
" I LOVE THIS SITE!" vs." It's a little girly" Perceptions of and Initial User Experience with Pinterest
HJ Miller, S Chang, LG Terveen
Proceedings of the 18th ACM Conference on Computer Supported Cooperative†…, 2015
202015
Got many labels? Deriving topic labels from multiple sources for social media posts using crowdsourcing and ensemble learning
S Chang, P Dai, J Chen, EH Chi
Proceedings of the 24th International Conference on World Wide Web, 397-406, 2015
112015
CrowdLens: experimenting with crowd-powered recommendation and explanation
S Chang, FM Harper, L He, LG Terveen
Tenth International AAAI Conference on Web and Social Media, 2016
102016
ACM recsys' 18 late-breaking results (posters)
C Trattner, V Murdock, S Chang
Proceedings of the 12th ACM Conference on Recommender Systems, 529-530, 2018
2018
Understanding How People Use Natural Language to Ask for Recommendations: Query Dataset
J Kang, K Condiff, S Chang, JA Konstan, L Terveen, FM Harper
2017
Leveraging Collective Intelligence in Recommender System
S Chang
University of Minnesota, 2016
2016
RMW Dixon. 2016. Are some languages better than others? Oxford: Oxford University Press. Pp. vii+ 272.£ 21.88 (hardcover). Reviewed by Ravi Parihar, Shri Mata Vaishno Devi†…
H Miller, J Thebault-Spieker, S Chang, I Johnson, L Terveen
language 83 (1), 3-34, 0
The system can't perform the operation now. Try again later.
Articles 1–20