Privacy-preserving normalized ratings-based weighted slope one predictor
نویسندگان
چکیده
منابع مشابه
Efficient Privacy-Preserving Collaborative Filtering Based on the Weighted Slope One Predictor
Rating-based collaborative filtering (CF) predicts the rating that a user will give to an item, derived from the ratings of other items given by other users. Such CF schemes utilise either user neighbourhoods (i.e. user-based CF) or item neighbourhoods (i.e. item-based CF). Lemire and MacLachlan [19] proposed three related schemes for an item-based CF with predictors of the form f (x) = x+b, he...
متن کاملPrivacy-preserving weighted Slope One predictor for Item-based Collaborative Filtering
Rating-based collaborative filtering (CF) predicts the rating that a user will give to an item, derived from the ratings of other items given by other users. Such CF schemes utilise either user neighbourhoods (i.e. user-based CF) or item neighbourhoods (i.e. item-based CF). Lemire and MacLachlan [1] proposed three related schemes for an item-based CF with predictors of the form f(x) = x+b, henc...
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The prediction of the rating that a user is likely to give to an item, can be derived from the ratings of other items given by other users, through collaborative filtering (CF). However, CF raises concerns about the privacy of the individual user’s rating data. To deal with this, several privacy-preserving CF schemes have been proposed. However, they are all limited either in terms of efficienc...
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In order to contribute to solve the personalization/privacy paradox, we propose a privacy-preserving architecture for one of stateof-the-art recommendation algorithm, Slope One. More precisely, we describe SlopPy (for Slope One with Privacy), a privacy-preserving version of Slope One in which a user never releases directly his personal information (i.e, his ratings). Rather, each user first per...
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Recent web-based applications offer users free service in exchange for access to personal communication, such as on-line email services and instant messaging. The inspection and retention of user communication is generally intended to enable targeted marketing. However, unless specifically stated otherwise by the collecting service’s privacy policy, such records have an indefinite lifetime and ...
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ژورنال
عنوان ژورنال: International Journal of Design & Nature and Ecodynamics
سال: 2016
ISSN: 1755-7437,1755-7445
DOI: 10.2495/dne-v11-n3-284-294