product title compression — 2 Technical Articles

Aug 17, 2018 · Artificial Intelligence

Can Multi‑Task Learning Shorten E‑Commerce Titles Without Losing Sales?

This paper proposes a multi‑task learning approach that compresses overly long e‑commerce product titles into concise short titles using a Pointer Network, while simultaneously generating user search queries with an attention‑based encoder‑decoder, achieving higher readability, informativeness, and conversion rates than traditional methods.

Attention MechanismMulti-Task LearningSequence-to-Sequence

0 likes · 11 min read

Can Multi‑Task Learning Shorten E‑Commerce Titles Without Losing Sales?

Alibaba Cloud Developer

Aug 7, 2018 · Artificial Intelligence

How Multi‑Task Learning Can Shrink E‑Commerce Product Titles Without Losing Sales

Researchers propose a multi‑task learning approach that compresses overly long e‑commerce product titles into concise short titles by jointly training a Pointer Network for extraction and an encoder‑decoder for query generation, preserving key information and maintaining conversion rates, as validated by offline and online experiments.

Multi-Task Learninge-commercenatural language processing

0 likes · 11 min read

How Multi‑Task Learning Can Shrink E‑Commerce Product Titles Without Losing Sales