Shuo Chang
TitleCited byYear
“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
1942016
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
1482013
Evolution of experts in question answering communities
A Pal, S Chang, JA Konstan
sixth international AAAI conference on weblogs and social media, 2012
1102012
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
862014
Routing questions for collaborative answering in community question answering
S Chang, A Pal
2013 IEEE/ACM International Conference on Advances in Social Networks …, 2013
762013
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
762011
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
492015
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
44*2015
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
382016
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
352011
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
182016
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
172016
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
152017
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
132015
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
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
72015
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
2016
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Articles 1–18