Combining Visualization and Feedback for Eyewear Recommendation.

摘要: The importance of effective customer assistance technologies is imperative in today’s online marketplace where users are oftentimes overwhelmed by the product choices available to them. Relating their subjective preferences precise descriptions poses an additional challenge, one which leads us look at how research from two complimentary communities (recommender systems and intelligent user interfaces) can be married improve recommender systems. In particular, we interested contentbased recommendation domains that rely heavily on explicit feature-level feedback narrow number relevant products for a user. A user’s inability or unwillingness provide detailed fine-grained information challenges applications these as such way presented selected presentation must adapt suit this type domain Here introduce iCARE System, provides combination visualization techniques additions current methods preference extraction recommend suitable eyeglasses individual users.