{"product_id":"collaborative-recommender-agents-von-miquel-montaner","title":"Collaborative Recommender Agents","description":"\u003cp\u003eThis thesis focusses on the study of AI techniques  which improve the performance of recommender systems.  Initially, a detailed analysis of the current state- of-the-art in this field has been carried out. This  work has been organised as a taxonomy where existing  recommender systems on the Internet are classified.   Secondly, this thesis proposes a new CBR approach to  recommendation. CBR is suitable for recommender  systems due to its being based on experience and  human reasoning. A forgetting mechanism is also  proposed for case-based profiles that controls the  relevance and age of past experiences.   Thirdly, this thesis proposes the agentification of  recommender systems in order to take advantage of  interesting agent properties such as proactivity,  encapsulation or social ability. Collaboration among  agents is performed with the opinion-based filtering  method and the collaborative filtering method through  trust. Both are based on a social model of trust  making agents less vulnerable to others while  collaborating.   Finally, this thesis also proposes an evaluation  procedure for recommender systems that allows a  scientific discussion of the results.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783838354262\"\u003e\u003ch3\u003eState-of-the-art and new techniques\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783838354262","offer_id":39499090165853,"sku":"9783838354262","price":79.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/02340a5d-b9df-424b-b1ea-fdcfcc4335ed.jpg?v=1772866151","url":"https:\/\/shop.autorenwelt.de\/products\/collaborative-recommender-agents-von-miquel-montaner","provider":"Autorenwelt Shop","version":"1.0","type":"link"}