TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories
- Publisher:
- ACM
- Publication Type:
- Conference Proceeding
- Citation:
- International Conference on Information and Knowledge Management, Proceedings, 2021, pp. 4721-4724
- Issue Date:
- 2021-10-26
Closed Access
| Filename | Description | Size | |||
|---|---|---|---|---|---|
| CIKM_eRupt_Demo_Paper (3).pdf | Accepted version | 1.05 MB |
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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).
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