Graph-Partitioning Entity Resolution for Resolving Noisy Product Names in OCR Scans of Retail Receipts

• Main Authors: Ilagan, Jose Ramon, Ilagan, Joseph Benjamin R
• Format: text
• Published: Archīum Ateneo 2024
• Subjects: Agglomerative Clustering; Business Intelligence; Master Data Management; Retail; Retail Analytics; Shopper Insights; Shopping Analytics; Business; Computer Sciences; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/qmit-faculty-pubs/26; https://archium.ateneo.edu/context/qmit-faculty-pubs/article/1025/viewcontent/1_s2.0_S1877050924014236_main.pdf
• Institution: Ateneo De Manila University

In business intelligence for retail, it is critical to ensure consistent and unambiguous product dimension information. This is challenging, especially if an organization does not have full control over the source of either transaction or master data. Such lack of control is the case when brands rel...