Title :
Comparing Recommendation Strategies in a Commercial Context
Author :
Zanker, Markus ; Jannach, Dietmar ; Gordea, Sergiu ; Jessenitschnig, Markus
Author_Institution :
Klagenfurt Univ.
Abstract :
From an industrial perspective, recommender systems constitute the base technology for providing interactivity and personalization in electronic business-to-consumer marketplaces. Robin Burke distinguishes between five different recommendation techniques: collaborative, content based, utility based, demographic, and knowledge based.
Keywords :
electronic commerce; information filtering; collaborative recommendation; content based recommendation; demographic recommendation; e-commerce; electronic business-to-consumer marketplaces; knowledge based recommendation; utility based recommendation; Collaboration; Consumer electronics; Demography; Electronics industry; Industrial electronics; Information filtering; Information filters; Marketing and sales; Read only memory; Recommender systems; Evaluation; Personalization; Recommender Systems;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2007.49
