DeepAI
Log In Sign Up

Semantic Product Search for Matching Structured Product Catalogs in E-Commerce

08/18/2020
by   Jason Ingyu Choi, et al.
0

Retrieving all semantically relevant products from the product catalog is an important problem in E-commerce. Compared to web documents, product catalogs are more structured and sparse due to multi-instance fields that encode heterogeneous aspects of products (e.g. brand name and product dimensions). In this paper, we propose a new semantic product search algorithm that learns to represent and aggregate multi-instance fields into a document representation using state of the art transformers as encoders. Our experiments investigate two aspects of the proposed approach: (1) effectiveness of field representations and structured matching; (2) effectiveness of adding lexical features to semantic search. After training our models using user click logs from a well-known E-commerce platform, we show that our results provide useful insights for improving product search. Lastly, we present a detailed error analysis to show which types of queries benefited the most by fielded representations and structured matching.

READ FULL TEXT

page 1

page 2

page 3

page 4

05/18/2020

Product Insights: Analyzing Product Intents in Web Search

Web search engines are frequently used to access information about produ...
08/29/2019

A Zero Attention Model for Personalized Product Search

Product search is one of the most popular methods for people to discover...
03/07/2019

A Clustering-Based Combinatorial Approach to Unsupervised Matching of Product Titles

The constant growth of the e-commerce industry has rendered the problem ...
07/15/2019

Ranking sentences from product description & bullets for better search

Products in an ecommerce catalog contain information-rich fields like de...
06/23/2021

Extreme Multi-label Learning for Semantic Matching in Product Search

We consider the problem of semantic matching in product search: given a ...
07/01/2019

Semantic Product Search

We study the problem of semantic matching in product search, that is, gi...
04/27/2020

Improving Usability of User Centric Decision Making of Multi-Attribute Products on E-commerce Websites

The high number of products available makes it difficult for a user to f...