%0 Conference Paper %1 McNee:2006:MRB:1125451.1125660 %A McNee, Sean M. %A Riedl, John %A Konstan, Joseph A. %B CHI '06 Extended Abstracts on Human Factors in Computing Systems %C New York, NY, USA %D 2006 %I ACM %K recommender user-control %P 1103--1108 %R 10.1145/1125451.1125660 %T Making Recommendations Better: An Analytic Model for Human-recommender Interaction %U http://doi.acm.org/10.1145/1125451.1125660 %X Recommender systems do not always generate good recommendations for users. In order to improve recommender quality, we argue that recommenders need a deeper understanding of users and their information seeking tasks. Human-Recommender Interaction (HRI) provides a framework and a methodology for understanding users, their tasks, and recommender algorithms using a common language. Further, by using an analytic process model, HRI becomes not only descriptive, but also constructive. It can help with the design and structure of a recommender system, and it can act as a bridge between user information seeking tasks and recommender algorithms. %@ 1-59593-298-4

@inproceedings{McNee:2006:MRB:1125451.1125660, abstract = {Recommender systems do not always generate good recommendations for users. In order to improve recommender quality, we argue that recommenders need a deeper understanding of users and their information seeking tasks. Human-Recommender Interaction (HRI) provides a framework and a methodology for understanding users, their tasks, and recommender algorithms using a common language. Further, by using an analytic process model, HRI becomes not only descriptive, but also constructive. It can help with the design and structure of a recommender system, and it can act as a bridge between user information seeking tasks and recommender algorithms.}, acmid = {1125660}, added-at = {2019-06-20T22:39:08.000+0200}, address = {New York, NY, USA}, author = {McNee, Sean M. and Riedl, John and Konstan, Joseph A.}, biburl = {https://www.bibsonomy.org/bibtex/200ec3d680e2624731a64faeb2abfd063/brusilovsky}, booktitle = {CHI '06 Extended Abstracts on Human Factors in Computing Systems}, description = {Making recommendations better}, doi = {10.1145/1125451.1125660}, interhash = {54327ca905ef60d2d1817e0de1fb9d40}, intrahash = {00ec3d680e2624731a64faeb2abfd063}, isbn = {1-59593-298-4}, keywords = {recommender user-control}, location = {Montr\&\#233;al, Qu\&\#233;bec, Canada}, numpages = {6}, pages = {1103--1108}, publisher = {ACM}, series = {CHI EA '06}, timestamp = {2019-06-20T22:39:08.000+0200}, title = {Making Recommendations Better: An Analytic Model for Human-recommender Interaction}, url = {http://doi.acm.org/10.1145/1125451.1125660}, year = 2006 }