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The Force Within: Recommendations Via Gravitational Attraction Between Items.

, , , and . UMAP, page 294-297. ACM, (2017)

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Filtered Food and Nofilter Landscapes in Online Photography: The Role of Content and Visual Effects in Photo Engagement., , , and . ICWSM, page 80-90. AAAI Press, (2019)Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos., , and . ICMR, page 105-112. ACM, (2013)Identifying authoritative sources of multimedia content: mining specificity and expertise from large-scale multimedia databases., and . ACM Multimedia, page 1205-1208. ACM, (2011)Tweet the debates: understanding community annotation of uncollected sources., , and . WSM@MM, page 3-10. ACM, (2009)Emerging trends in social multimedia.. SAM@ACM Multimedia, page 25-26. ACM, (2013)How Content, Community, and Engagement Affect the Life Cycles of Online Photo Sharing Groups., and . ICWSM, page 607-610. AAAI Press, (2016)Crowd Knowledge Enhanced Multimodal Conversational Assistant in Travel Domain., , , and . MMM (1), volume 11961 of Lecture Notes in Computer Science, page 405-418. Springer, (2020)Framework for evaluation of text captchas., , , , and . WWW (Companion Volume), page 159-160. International World Wide Web Conferences Steering Committee / ACM, (2013)Finding Weather Photos: Community-Supervised Methods for Editorial Curation of Online Sources., , , , , and . CSCW, page 86-96. ACM, (2016)The Force Within: Recommendations Via Gravitational Attraction Between Items., , , and . UMAP, page 294-297. ACM, (2017)