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  4. Building Knowledge Graph for Products at Web Scale
 
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Building Knowledge Graph for Products at Web Scale

Source
ACM International Conference Proceeding Series
Date Issued
2024-01-04
Author(s)
Agarwal, Manoj
DOI
10.1145/3632410.3633292
Abstract
A knowledge graph is the key to entity search as it can store the factual entity related information in a structured manner without the rigidity of a fixed schema. Both Google and Bing have web scale knowledge graphs and for a large fraction of web queries knowledge graph is invoked. E-commerce search is primarily an entity search. Therefore, building a Knowledge Graph is the key to improve the eCommerce search in many ways. However, building it at web scale is a highly challenging problem. It is an equally or even more challenging problem to build the knowledge graph for products. In this tutorial, we present state-of-the-art work to address some of the key challenges to build the knowledge graph as well as our methodology to build a product graph at web scale for Microsoft-Shopping, containing a few billion facts.
Unpaywall
URI
https://d8.irins.org/handle/IITG2025/29065
Subjects
faceted search | knowledge graph | Product graph | semantic search | taxonomy
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