Abstract
Despite the growth of e-commerce, brick-and-mortar stores are still the preferred destinations for many people. In this paper, we present ISA, a mobile-based intelligent shopping assistant that is designed to improve shopping experience in physical stores. ISA assists users by leveraging advanced techniques in computer vision, speech processing, and natural language processing. An in-store user only needs to take a picture or scan the barcode of the product of interest, and then the user can talk to the assistant about the product. The assistant can also guide the user through the purchase process or recommend other similar products to the user. We take a data-driven approach in building the engines of ISA’s natural language processing component, and the engines achieve good performance.- Anthology ID:
- 2020.aacl-demo.3
- Volume:
- Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations
- Month:
- December
- Year:
- 2020
- Address:
- Suzhou, China
- Venue:
- AACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 14–19
- Language:
- URL:
- https://aclanthology.org/2020.aacl-demo.3
- DOI:
- Cite (ACL):
- Tuan Lai, Trung Bui, and Nedim Lipka. 2020. ISA: An Intelligent Shopping Assistant. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations, pages 14–19, Suzhou, China. Association for Computational Linguistics.
- Cite (Informal):
- ISA: An Intelligent Shopping Assistant (Lai et al., AACL 2020)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2020.aacl-demo.3.pdf