Designed and coded a specialized spell checker for search queries tailor made to the client’s needs, outperforming out-of-the-box options.
Used BERT transformer model, UMAP and HDBScan clustering algorithms to develop semantic clustering of search queries, grouping together queries that are similar in intent to enable more insightful analysis of performance of specific search domains.
Introduction Clustering is a powerful unsupervised machine-learning technique that involves grouping data points based on their similarities. Unlike supervised learning,
Introduction Clustering is a powerful unsupervised machine-learning technique that involves grouping data points based on their similarities. Unlike supervised learning,
