AmpSum: adaptive multiple-product summarization towards improving recommendation captions

• Main Authors: TRUONG, Quoc Tuan, LAUW, Hady Wirawan, YUAN, Changhe, LI, Jin, CHAN, Jim, PANTEL, Soo-Min, LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Multiple-Product Summarization; Product Summarization; Recommendation Captions; E-Commerce
• Online Access: https://ink.library.smu.edu.sg/sis_research/7662; https://ink.library.smu.edu.sg/context/sis_research/article/8665/viewcontent/webconf22.pdf
• Institution: Singapore Management University

In e-commerce websites, multiple related product recommendations are usually organized into “widgets”, each given a name, as a recommendation caption, to describe the products within. These recommendation captions are usually manually crafted and generic in nature, making it difficult to attach mean...