User intent modeling in natural language processing deciphers user requests to allow for
personalized responses. The substantial volume of research (exceeding 13,000 …

Context information in search sessions has proven to be useful for capturing user search
intent. Existing studies explored user behavior sequences in sessions in different ways to …

Personalized search plays a crucial role in improving user search experience owing to its
ability to build user profiles based on historical behaviors. Previous studies have made great …

The key to personalized search is to clarify the meaning of current query based on user's
search history. Previous personalized studies tried to build user profiles on the basis of …

A good personalized product search (PPS) system should not only focus on retrieving
relevant products, but also consider user personalized preference. Recent work on PPS …

Personalized search is a task to tailor the general document ranking list based on user
interests to better satisfy the user's information need. Many personalized search models …

Product search has been an important way for people to find products on online shop**
platforms. Existing approaches in personalized product search mainly embed user …

The key to personalized search is to build the user profile based on historical behaviour. To
deal with the users who lack historical data, group based personalized models were …