Agarwal, ManojManojAgarwal2025-08-312025-08-312024-01-04[9798400716348]10.1145/3632410.36332922-s2.0-85183586275https://repository.iitgn.ac.in/handle/IITG2025/29065A 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.falsefaceted search | knowledge graph | Product graph | semantic search | taxonomyConference Paper498-5004 January 202400