  Hashtag, a product of user tagging behavior, which can well describe the
semantics of the user-generated content personally over social network
applications, e.g., the recently popular micro-videos. Hashtags have been
widely used to facilitate various micro-video retrieval scenarios, such as
search engine and categorization. In order to leverage hashtags on micro-media
platform for effective e-commerce marketing campaign, there is a demand from
e-commerce industry to develop a mapping algorithm bridging its categories and
micro-video hashtags. In this demo paper, we therefore proposed a novel
solution called TagPick that incorporates clues from all user behavior metadata
(hashtags, interactions, multimedia information) as well as relational data
(graph-based network) into a unified system to reveal the correlation between
e-commerce categories and hashtags in industrial scenarios. In particular, we
provide a tag-level popularity strategy to recommend the relevant hashtags for
e-Commerce platform (e.g., eBay).
