5 papers
Multi-Value-Product Retrieval-Augmented Generation for Industrial Product Attribute Value Identification
Huike Zou, Haiyang Yang, Yindu Su +5
Identifying attribute values from product profiles is a key task for improving product search, recommendation, and business analytics on e-commerce platforms, which we called Produ…
GSID: Generative Semantic Indexing for E-Commerce Product Understanding
Haiyang Yang, Qinye Xie, Qingheng Zhang +7
Structured representation of product information is a major bottleneck for the efficiency of e-commerce platforms, especially in second-hand ecommerce platforms. Currently, most pr…
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification
Yindu Su, Huike Zou, Lin Sun +7
Product Attribute Value Identification (PAVI) involves identifying attribute values from product profiles, a key task for improving product search, recommendation, and business ana…
IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform
Wenhao Wu, Xiaojie Li, Lin Wang +8
Most recommendation systems typically follow a product-based paradigm utilizing user-product interactions to identify the most engaging items for users. However, this product-based…
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing
Kang Chen, Qingheng Zhang, Chengbao Lian +6
Unlike professional Business-to-Consumer (B2C) e-commerce platforms (e.g., Amazon), Consumer-to-Consumer (C2C) platforms (e.g., Facebook marketplace) are mainly targeting individua…