Intelligent Online Selling Point Extraction for E-Commerce Recommendation

by   Xiaojie Guo, et al.

In the past decade, automatic product description generation for e-commerce have witnessed significant advancement. As the services provided by e-commerce platforms become diverse, it is necessary to dynamically adapt the patterns of descriptions generated. The selling point of products is an important type of product description for which the length should be as short as possible while still conveying key information. In addition, this kind of product description should be eye-catching to the readers. Currently, product selling points are normally written by human experts. Thus, the creation and maintenance of these contents incur high costs. These costs can be significantly reduced if product selling points can be automatically generated by machines. In this paper, we report our experience developing and deploying the Intelligent Online Selling Point Extraction (IOSPE) system to serve the recommendation system in the e-commerce platform. Since July 2020, IOSPE has become a core service for 62 key categories of products (covering more than 4 million products). So far, it has generated more than 0.1 billion selling points, thereby significantly scaling up the selling point creation operation and saving human labour. These IOSPE generated selling points have increased the click-through rate (CTR) by 1.89% and the average duration the customers spent on the products by more than 2.03% compared to the previous practice, which are significant improvements for such a large-scale e-commerce platform.


page 1

page 7


Automatic Controllable Product Copywriting for E-Commerce

Automatic product description generation for e-commerce has witnessed si...

Automatic Product Copywriting for E-Commerce

Product copywriting is a critical component of e-commerce recommendation...

Automatic Generation of Product-Image Sequence in E-commerce

Product images are essential for providing desirable user experience in ...

Automatic Scene-based Topic Channel Construction System for E-Commerce

Scene marketing that well demonstrates user interests within a certain s...

Enhancing Product Safety in E-Commerce with NLP

Ensuring safety of the products offered to the customers is of paramount...

Automatic Generation of Chinese Short Product Titles for Mobile Display

This paper studies the problem of automatically extracting a short title...

A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data

The substitute-based recommendation is widely used in E-commerce to prov...

Please sign up or login with your details

Forgot password? Click here to reset