First-stage retrieval is a critical task that aims to retrieve relevant
...
Grounded on pre-trained language models (PLMs), dense retrieval has been...
An effective ranking model usually requires a large amount of training d...
Unbiased learning to rank (ULTR) aims to mitigate various biases existin...
Users often need to look through multiple search result pages or reformu...
An effective email search engine can facilitate users' search tasks and
...
Product search is an important way for people to browse and purchase ite...
In product search, customers make purchase decisions based on not only t...
Redundancy-aware extractive summarization systems score the redundancy o...
Product search is one of the most popular methods for customers to disco...
In product search, users tend to browse results on multiple search resul...
Intelligent assistants change the way people interact with computers and...
Product search serves as an important entry point for online shopping. I...
Relevance feedback techniques assume that users provide relevance judgme...
As more and more search traffic comes from mobile phones, intelligent
as...
Learning to rank with biased click data is a well-known challenge. A var...
Learning to rank has been intensively studied and widely applied in
info...