TY - GEN
T1 - Recommenders everywhere
T2 - 2007 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages and Applications, OOPSLA - 2007 International Symposium on Wikis, WikiSym
AU - Frankowski, Dan
AU - Lam, Shyong K.
AU - Sen, Shilad
AU - Harper, F. Maxwell
AU - Yilek, Scott
AU - Cassano, Michael
AU - Riedl, John
PY - 2007
Y1 - 2007
N2 - Suppose you have a passion for items of a certain type, and you wish to start a recommender system around those items. You want a system like Amazon or Epinions, but for cookie recipes, local theater, or microbrew beer. How can you set up your recommender system without assembling complicated algorithms, large software infrastructure, a large community of contributors, or even a full catalog of items? WikiLens is open source software that enables anyone, anywhere to start a community-maintained recommender around any type of item. We introduce five principles for community-maintained recommenders that address the two key issues: (1) community contribution of items and associated information; and (2) finding items of interest. Since all recommender communities start small, we look at feasibility and utility in the small world, one with few users, few items, few ratings. We describe the features of WikiLens, which are based on our principles, and give lessons learned from two years of experience running wikilens.org.
AB - Suppose you have a passion for items of a certain type, and you wish to start a recommender system around those items. You want a system like Amazon or Epinions, but for cookie recipes, local theater, or microbrew beer. How can you set up your recommender system without assembling complicated algorithms, large software infrastructure, a large community of contributors, or even a full catalog of items? WikiLens is open source software that enables anyone, anywhere to start a community-maintained recommender around any type of item. We introduce five principles for community-maintained recommenders that address the two key issues: (1) community contribution of items and associated information; and (2) finding items of interest. Since all recommender communities start small, we look at feasibility and utility in the small world, one with few users, few items, few ratings. We describe the features of WikiLens, which are based on our principles, and give lessons learned from two years of experience running wikilens.org.
KW - Community-maintained
KW - Member-maintained
KW - Recommender systems
UR - http://www.scopus.com/inward/record.url?scp=41149155935&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=41149155935&partnerID=8YFLogxK
U2 - 10.1145/1296951.1296957
DO - 10.1145/1296951.1296957
M3 - Conference contribution
AN - SCOPUS:41149155935
SN - 9781595938619
T3 - Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA
SP - 47
EP - 60
BT - 2007 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages and Applications, OOPSLA - 2007 International Symposium on Wikis, WikiSym
Y2 - 21 October 2007 through 25 October 2007
ER -