Paper: Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs

ACL ID D13-1132
Title Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Hot trends are likely to bring new business opportunities. For example, ?Air Pollution? might lead to a significant increase of the sales of related products, e.g., mouth mask. For e- commerce companies, it is very important to make rapid and correct response to these hot trends in order to improve product sales. In this paper, we take the initiative to study the task of how to identify trend related products. The major novelty of our work is that we au- tomatically learn commercial intents revealed from microblogs. We carefully construct a da- ta collection for this task and present quite a few insightful findings. In order to solve this problem, we further propose a graph based method, which jointly models relevance and associativity. We perform extensive experi- ments and the results sh...