Semantic Vector Search: The New Frontier in Product Discovery
Semantic vector search has become a major component in modern search ecosystems. It ties together catalog data with customer behavior data within your retrieval system and helps you automatically adjust search results with recent trends. In this talk, we will cover the process of encoding all available multi-modal product data: images, attributes, descriptions into input features for the relevance model and training this model using customer behavior data. As a result, a semantic vector search system will be able to successfully tackle many tough cases such as out-of-vocabulary, thematic, sy…
