Experimental Evaluation of Deceptive Information Filtering in Context-Aware Service Selection

Experience-based service selection refers to selection of service providers using others' experiences. An agent can represent its experience (its demand and received service) rigorously using an ontology. When agents report their experiences truthfully, experience-based service selection outperforms classical rating-based service selection, in which agents only report ratings for service providers. However, in many setting agents may prefer to lie about their experiences. This paper tackles the problem of handling deceptive information in the context of experience-based service selection. We apply three current approaches for filtering unfair ratings to filtering deceptive experience. We analyze these approaches when multiagent systems have different types of liars and report their performance in filtering deceptive experiences.

• Type: Conference
• Year: 2008
• Where: ATAL
• Authors: Murat Sensoy, Pinar Yolum
• Keywords: ATAL 2008, Experience-based Service Selection, Intelligent Agents, Rating-based Service Selection, Service Providers