D. Lee. RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems, Seite 311--314. New York, NY, USA, ACM, (2008)
DOI: 10.1145/1454008.1454060
Zusammenfassung
Typical collaborative filtering recommenders (CF) do not provide any chance for users to choose or evaluate the bases for recommendation. Once the system evaluates a group of users as being similar to a target user, her information is tailored by unknown people's taste. As a cultural event recommender, PITTCULT provides a way for users to rate the trustworthiness of other users; then, according to those ratings, a recommendation is generated. This paper explains why trust-based recommendation is necessary, and how studies using PITTCULT cope with the problems of the existing CF.
%0 Conference Paper
%1 citeulike:3749029
%A Lee, Danielle H.
%B RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems
%C New York, NY, USA
%D 2008
%I ACM
%K recommender social-network trust
%P 311--314
%R 10.1145/1454008.1454060
%T PITTCULT: trust-based cultural event recommender
%U http://dx.doi.org/10.1145/1454008.1454060
%X Typical collaborative filtering recommenders (CF) do not provide any chance for users to choose or evaluate the bases for recommendation. Once the system evaluates a group of users as being similar to a target user, her information is tailored by unknown people's taste. As a cultural event recommender, PITTCULT provides a way for users to rate the trustworthiness of other users; then, according to those ratings, a recommendation is generated. This paper explains why trust-based recommendation is necessary, and how studies using PITTCULT cope with the problems of the existing CF.
%@ 978-1-60558-093-7
@inproceedings{citeulike:3749029,
abstract = {{Typical collaborative filtering recommenders (CF) do not provide any chance for users to choose or evaluate the bases for recommendation. Once the system evaluates a group of users as being similar to a target user, her information is tailored by unknown people's taste. As a cultural event recommender, PITTCULT provides a way for users to rate the trustworthiness of other users; then, according to those ratings, a recommendation is generated. This paper explains why trust-based recommendation is necessary, and how studies using PITTCULT cope with the problems of the existing CF.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {New York, NY, USA},
author = {Lee, Danielle H.},
biburl = {https://www.bibsonomy.org/bibtex/2fa8bd5e45504b01c8501947d071d8b9d/aho},
booktitle = {RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems},
citeulike-article-id = {3749029},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1454060},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/1454008.1454060},
doi = {10.1145/1454008.1454060},
interhash = {a72a92d4d7e4ace3a1358f983d0b2aa5},
intrahash = {fa8bd5e45504b01c8501947d071d8b9d},
isbn = {978-1-60558-093-7},
keywords = {recommender social-network trust},
location = {Lausanne, Switzerland},
pages = {311--314},
posted-at = {2008-12-12 04:50:58},
priority = {0},
publisher = {ACM},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{PITTCULT: trust-based cultural event recommender}},
url = {http://dx.doi.org/10.1145/1454008.1454060},
year = 2008
}