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Reihe: Fortschritt-Berichte
Sachgebiet: Informatik/Kommunikationstechnik
Band Nr.: 825
Titel: Knowledge-based and Consensual
Recommender Systems
Ort: Hagen
Jahr: 2013

Information systems providing recommendations were established in recent years as effective tools in electronic commerce, entertainment and medicine. Solutions to their major problems adversely affecting the accuracy of recommendations, viz. cold start, integrating new users, sparsity and scalability, are developed by means of application-specific distance measures combined with incremental learning and collaborative filtering based on cluster models, and then experimentally validated. Basing recommender systems on domain knowledge and on agreements between users to be satisfied as a group are proposed as novel concepts. Social connections among group members are created by preferential attachment resulting in rating-weighted scale-free networks. Conflicts in opinion are resolved by consensus protocols and criteria conflicts by Pareto optimality. A personal digital accessory designed to deploy telemedical recommender systems where infrastructure is insufficient requests feedback on whether given recommendations are actually followed and on the effects observed.

Autor: Maytiyanin Komkhao, M.Sc.
  116 Seiten
  36 Abbildungen 29 Tabellen
ISBN: 978-3-18-382510-3 ISSN: 0178-9627
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