Understanding Inter-Session Intentions via Complex Logical Reasoning

arXiv:2312.13866v2 Announce Type: replace-cross
Abstract: Understanding user intentions is essential for improving product recommendations, navigation suggestions, and query reformulations. However, user intentions can be intricate, involving multiple sessions and attribute requirements connected by logical operators such as And, Or, and Not. For instance, a user may search for Nike or Adidas running shoes across various sessions, with a preference for purple. In another example, a user may have purchased a mattress in a previous session and is now looking for …

abstract arxiv cs.ai cs.cl however improving instance multiple navigation nike operators product query reasoning recommendations replace requirements running search session suggestions type understanding via