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• W848294549 abstract "OF DISSERTATION DATA PRIVACY PRESERVATION IN COLLABORATIVE FILTERING BASED RECOMMENDER SYSTEMS This dissertation studies data privacy preservation in collaborative filtering based recommender systems and proposes several collaborative filtering models that aim at preserving user privacy from different perspectives. The empirical study on multiple classical recommendation algorithms presents the basic idea of the models and explores their performance on real world datasets. The algorithms that are investigated in this study include a popularity based model, an item similarity based model, a singular value decomposition based model, and a bipartite graph model. Top-N recommendations are evaluated to examine the prediction accuracy. It is apparent that with more customers’ preference data, recommender systems can better profile customers’ shopping patterns which in turn produces product recommendations with higher accuracy. The precautions should be taken to address the privacy issues that arise during data sharing between two vendors. Study shows that matrix factorization techniques are ideal choices for data privacy preservation by their nature. In this dissertation, singular value decomposition (SVD) and nonnegative matrix factorization (NMF) are adopted as the fundamental techniques for collaborative filtering to make privacy-preserving recommendations. The proposed SVD based model utilizes missing value imputation, randomization technique, and the truncated SVD to perturb the raw rating data. The NMF based models, namely iAux-NMF and iCluster-NMF, take into account the auxiliary information of users and items to help missing value imputation and privacy preservation. Additionally, these models support efficient incremental data update as well. A good number of online vendors allow people to leave their feedback on products. It is considered as users’ public preferences. However, due to the connections between users’ public and private preferences, if a recommender system fails to distinguish real customers from attackers, the private preferences of real customers can be exposed. This dissertation addresses an attack model in which an attacker holds real customers’ partial ratings and tries to obtain their private preferences by cheating recommender systems. To resolve this problem, trustworthiness information is incorporated into NMF based collaborative filtering techniques to detect the attackers and make reasonably different recommendations to the normal users and the attackers. By doing so, users’ private preferences can be effectively protected." @default.
• W848294549 created "2016-06-24" @default.
• W848294549 creator A5049180777 @default.
• W848294549 date "2015-01-01" @default.
• W848294549 modified "2023-09-27" @default.
• W848294549 title "Data Privacy Preservation in Collaborative Filtering Based Recommender Systems" @default.
• W848294549 cites W132240252 @default.
• W848294549 cites W1479822238 @default.
• W848294549 cites W1500188831 @default.
• W848294549 cites W151061087 @default.
• W848294549 cites W1520758132 @default.
• W848294549 cites W1535281683 @default.
• W848294549 cites W1539269997 @default.
• W848294549 cites W1539738334 @default.
• W848294549 cites W1568451138 @default.
• W848294549 cites W1615057313 @default.
• W848294549 cites W1832221731 @default.
• W848294549 cites W1918870341 @default.
• W848294549 cites W1966553486 @default.
• W848294549 cites W1970978568 @default.
• W848294549 cites W1981868151 @default.
• W848294549 cites W1994389483 @default.
• W848294549 cites W1994753907 @default.
• W848294549 cites W1999047234 @default.
• W848294549 cites W1999602050 @default.
• W848294549 cites W2009205701 @default.
• W848294549 cites W2009262977 @default.
• W848294549 cites W2013029404 @default.
• W848294549 cites W2013823004 @default.
• W848294549 cites W2022097286 @default.
• W848294549 cites W2024165284 @default.
• W848294549 cites W2024352733 @default.
• W848294549 cites W2028912620 @default.
• W848294549 cites W2029507558 @default.
• W848294549 cites W2033889177 @default.
• W848294549 cites W2038901440 @default.
• W848294549 cites W2041121174 @default.
• W848294549 cites W2043545458 @default.
• W848294549 cites W2049633694 @default.
• W848294549 cites W2051203581 @default.
• W848294549 cites W2053483728 @default.
• W848294549 cites W2056088289 @default.
• W848294549 cites W2057991616 @default.
• W848294549 cites W2059212640 @default.
• W848294549 cites W2065449442 @default.
• W848294549 cites W206759535 @default.
• W848294549 cites W2068528675 @default.
• W848294549 cites W2069480896 @default.
• W848294549 cites W2074385943 @default.
• W848294549 cites W2076041627 @default.
• W848294549 cites W2079372328 @default.
• W848294549 cites W2080320419 @default.
• W848294549 cites W2085937320 @default.
• W848294549 cites W2088722149 @default.
• W848294549 cites W2102937240 @default.
• W848294549 cites W2105431676 @default.
• W848294549 cites W2107961623 @default.
• W848294549 cites W2110325612 @default.
• W848294549 cites W2112404807 @default.
• W848294549 cites W2112740959 @default.
• W848294549 cites W2117354486 @default.
• W848294549 cites W2120366108 @default.
• W848294549 cites W2124591829 @default.
• W848294549 cites W2127058089 @default.
• W848294549 cites W2127218421 @default.
• W848294549 cites W2128443790 @default.
• W848294549 cites W2135598826 @default.
• W848294549 cites W2142144955 @default.
• W848294549 cites W2143995004 @default.
• W848294549 cites W2150886314 @default.
• W848294549 cites W2151281839 @default.
• W848294549 cites W2152279941 @default.
• W848294549 cites W2153622543 @default.
• W848294549 cites W2154249783 @default.
• W848294549 cites W2155106456 @default.
• W848294549 cites W2163349208 @default.
• W848294549 cites W2164083904 @default.
• W848294549 cites W2166563663 @default.
• W848294549 cites W2169101582 @default.
• W848294549 cites W2171960770 @default.
• W848294549 cites W2173213060 @default.
• W848294549 cites W2217347858 @default.
• W848294549 cites W2233545183 @default.
• W848294549 cites W2295735070 @default.
• W848294549 cites W2341535507 @default.
• W848294549 cites W2380393499 @default.
• W848294549 cites W2389338864 @default.
• W848294549 cites W2398206186 @default.
• W848294549 cites W2482276862 @default.
• W848294549 cites W2541371539 @default.
• W848294549 cites W2562272604 @default.
• W848294549 cites W2571268788 @default.
• W848294549 cites W2798766386 @default.
• W848294549 cites W2886661658 @default.
• W848294549 cites W3026026050 @default.
• W848294549 cites W3143596294 @default.
• W848294549 cites W90598645 @default.
• W848294549 cites W2151564859 @default.
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