Neural Net Based User Feedback Learning Mechanism for Distributed Information Retrieval

분산 정보 검색을 위한 신경망 기반 사용자 피드백 학습 메카니즘

  • Received : 2001.06.23
  • Accepted : 2001.08.28
  • Published : 2001.09.30


Since documents on the Web are naturally partitioned into many document databases, the efficient information retrieval process requires identifying the document databases that are most likely to provide relevant documents to the query and then querying the identified document databases. We propose a neural net based user feedback learning mechanism for such an efficient information retrieval. Presented learning mechanism learns about underlying document databases using the relevance feedbacks obtained from user's retrieval experiences. For a given query, the learning mechanism, which is sufficiently trained, discovers the document databases associated with the relevant documents and retrieves those documents effectively.