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Journals ACM SIGIR Forum Volume 35 Issue 1

Joint DELOS-NSF Workshop on Personalisation and Recommender Systems in Digital Libraries Alan Smeaton School of Computer Applications Dublin City University Dublin 9, IRELAND (asmeaton@compapp.dcu.ie) Jamie Callan School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA (callan@cs.cmu.edu) Introduction One of the important ways for users to feel comfortable with and become productive using information technology is to personalise or tailor systems to individuals or groups of users. This covers both explicit personalisation directly by the user, and implicit tailoring by systems that track users usage patterns and preferences and adapt systems and interfaces accordingly. The concept of personalisation thus is about making systems different for individual people, but the concept of personalization itself can mean different things. One type of personalisation that is growing in use is recommender systems. Such systems take input directly or indirectly from users and based on user needs, preferences and usage patterns, recommender systems will then make personalised recommendations of products or services. These vary from recommending books to buy or TV programs to watch, to suggesting web pages to visit. The ultimate goal of such recommender systems is to reduce the amount of explicit user input and to operate, effectively, based

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Joint DELOS-NSF workshop on personalisation and recommender systems in digital libraries

Smeaton, Alan; Callan, Jamie
ACM SIGIR Forum , Volume 35 (1)
Association for Computing Machinery – Apr 1, 2001

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