A Personalized System for Conversational Recommendations

Understand

Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases.

• Recommendation systems help users find items of interest of a particular type, such as movies or restaurants, but are still somewhat awkward to use.
• Our solution is to take advantage of the complementary strengths of personalized recommendation systems and dialogue systems, creating personalized aides.
• We present a system -- the Adaptive Place Advisor -- that treats item selection as an interactive, conversational process, with the program inquiring about item attributes and the user responding.