Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking

Understand

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 enhance query suggestion or document ranking.
• However, a user behavior sequence has often been viewed as a definite and exact signal reflecting a user's behavior.
• In reality, it is highly variable: user's queries for the same intent can vary, and different documents can be clicked.