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Beyond Recommender Systems: Helping People Help Each Other (2001)
| Venue: | HCI in the New Millennium |
| Citations: | 96 - 1 self |
BibTeX
@INPROCEEDINGS{Terveen01beyondrecommender,
author = {Loren Terveen and Will Hill},
title = {Beyond Recommender Systems: Helping People Help Each Other},
booktitle = {HCI in the New Millennium},
year = {2001},
pages = {487--509},
publisher = {Addison-Wesley}
}
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Abstract
The Internet and World Wide Web have brought us into a world of endless possibilities: interactive Web sites to experience, music to listen to, conversations to participate in, and every conceivable consumer item to order. But this world also is one of endless choice: how can we select from a huge universe of items of widely varying quality? Computational recommender systems have emerged to address this issue. They enable people to share their opinions and benefit from each other's experience. We present a framework for understanding recommender systems and survey a number of distinct approaches in terms of this framework. We also suggest two main research challenges: (1) helping people form communities of interest while respecting personal privacy, and (2) developing algorithms that combine multiple types of information to compute recommendations. In HCI In The New Millennium, Jack Carroll, ed., Addison-Wesley, 2001 p. 2 of 21 Introduction The new millennium is an age of i...
Keyphrases
recommender system people help new millennium conceivable consumer item people form community distinct approach world wide web interactive web main research challenge endless choice personal privacy endless possibility huge universe computational recommender system combine multiple type jack carroll enable people
