Xinhua Ling

Jan 14, 2025 | amazon.science | Rajdeep Mukherjee |Sonali Singh |Sachin Farfade |Xinhua Ling

Products on e-commerce platforms are usually organized based on seller-provided product attributes. Customers looking for a product typically have certain needs or use cases in mind, such as headphones for gym classes, or a printer for school projects. However, they often struggle to map these use cases to product attributes, thereby failing to find the product they need.

Jan 14, 2025 | amazon.science | Sonali Singh |Sachin Farfade |Prakash Mandayam Comar |Xinhua Ling

Traditional Query Auto-completion (QAC) systems optimise for query relevance based on past user interactions. This approach excels at surfacing frequently searched queries, but ensuring a diverse range of suggestions and incorporating new products or trends often requires post-processing heuristics. This limitation stems from relying on user search logs, which may not fully capture the evolving product landscape.