Building knowledge graph for products at web scale

Show simple item record

dc.contributor.author Agarwal, Manoj
dc.contributor.other 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)
dc.coverage.spatial India
dc.date.accessioned 2024-01-17T15:23:10Z
dc.date.available 2024-01-17T15:23:10Z
dc.date.issued 2024-01-04
dc.identifier.citation Agarwal, Manoj, "Building knowledge graph for products at web scale", in the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, IN, Jan. 4-7, 2024.
dc.identifier.uri https://doi.org/10.1145/3632410.3633292
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/9678
dc.description.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.
dc.description.statementofresponsibility by Manoj Agarwal
dc.language.iso en_US
dc.publisher Association for Computing Machinery
dc.subject Product graph
dc.subject Knowledge graph
dc.subject Semantic search
dc.subject Faceted search
dc.subject Taxonomy
dc.title Building knowledge graph for products at web scale
dc.type Conference Paper


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account