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Shuo Chang
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“Blissfully happy” or “ready tofight”: Varying interpretations of emoji
H Miller, J Thebault-Spieker, S Chang, I Johnson, L Terveen, B Hecht
Proceedings of the international AAAI conference on web and social media 10 …, 2016
6032016
" 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
2082013
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
1592012
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
1372016
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
1332014
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
1282015
Routing questions for collaborative answering in community question answering
S Chang, A Pal
Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013
1132013
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
932011
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
832016
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
79*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
702017
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
412011
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
352016
" 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
292015
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
172015
What Is A Dissertation
H Miller, J Thebault-Spieker, S Chang, I Johnson, L Terveen, B Hecht
Science 6, 9.8, 2015
132015
CrowdLens: experimenting with crowd-powered recommendation and explanation
S Chang, F Harper, L He, L Terveen
Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016
102016
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders
Y Wang, Y Halpern, S Chang, J Feng, EY Le, L Li, X Liang, MC Huang, ...
Proceedings of the 17th ACM Conference on Recommender Systems, 1049-1053, 2023
42023
Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems
B Chang, C Meng, H Ma, S Chang, Y Gu, Y Peng, J Feng, Y Zhang, S Bi, ...
Companion Proceedings of the ACM on Web Conference 2024, 151-160, 2024
12024
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
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Articles 1–20