@article{
 title = {A Live-User Study of Opinionated Explanations for Recommender Systems},
 type = {article},
 year = {2016},
 identifiers = {[object Object]},
 keywords = {3,are,build explanations that emphasise,cheaper and lighter but,example,explanations can also relate,for,here are laptops that,in this paper,one item to others,pu and chen,such as,the tradeoffs between items,with a slower processor},
 pages = {256-260},
 websites = {http://dl.acm.org/citation.cfm?doid=2856767.2856813},
 id = {184cd617-c2d1-3dbb-b678-c66fef8588d8},
 created = {2018-09-10T08:28:53.182Z},
 file_attached = {false},
 profile_id = {2ed0fe69-06a2-3e8b-9bc9-5bdb197f1120},
 group_id = {e795dbfa-5576-3499-9c01-6574f19bf7aa},
 last_modified = {2018-12-14T12:16:31.348Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Muhammad2016},
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 abstract = {This paper describes an approach for generating rich and com-pelling explanations in recommender systems, based on opin-ions mined from user-generated reviews. The explanations highlight the features of a recommended item that matter most to the user and also relate them to other recommendation alter-natives and the user's past activities to provide a context.},
 bibtype = {article},
 author = {Muhammad, Khalil Ibrahim and Lawlor, Aonghus and Smyth, Barry},
 journal = {Proceedings of the 21st International Conference on Intelligent User Interfaces - IUI '16}
}

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