Taobao Search

Taobao search research focuses on improving product retrieval and advertisement click-through rate prediction within the massive Taobao e-commerce platform. Current efforts concentrate on enhancing embedding-based retrieval models through multi-objective optimization and incorporating multimodal data (like images and text) to improve relevance and personalization. These advancements leverage techniques such as pre-trained multimodal representations and disentangled representation learning to address challenges like sample selection bias and improve key business metrics like click-through rates and gross merchandise value. The resulting improvements in search relevance and advertising effectiveness have significant implications for both the e-commerce industry and the broader field of information retrieval.