FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2885172183> ?p ?o ?g. }

• W2885172183 endingPage "402" @default.
• W2885172183 startingPage "386" @default.
• W2885172183 abstract "Abstract Collaborative filtering is an emerging recommender system technique that aims guiding users based on other customers preferences with behavioral similarities. Such correspondences are located based on preference history of users. A relatively new extension of traditional collaborative filtering schemes takes into account not only how much a user likes an item, but also why she likes the item by collecting multi-criteria preferences focusing on distinctive features of the items. These multi-criteria collaborative filtering systems have the potential to improve recommender system accuracy since they reveal multiple views of users on products. However, due to providing more insightful recommendations, such systems might be subjected to malicious attacks more substantially than the traditional ones. Attackers attempt to insert fake profiles to bias outputs of these systems in favor of a particular product or disrepute the system itself. Since outputs of expert systems directly dependent on input signals; interventions to the inputs coherently cause failures on productions of such systems. In this study, we examine shilling attack strategies against multi-criteria preference collections, how to extend well-known attack scenarios against these systems, and propose an alternative attacking scheme. We analyze the robustness of baseline multi-criteria recommendation algorithms regarding various similarity aggregation procedures against proposed attacking schemes by the extensive experimental investigation. Empirical results on real-world data demonstrate that these systems are highly vulnerable to manipulations and proper attack detection practices are needed to ensure recommendation quality. According to our findings, manipulative attempts at such expert systems mislead decision-making process." @default.
• W2885172183 created "2018-08-22" @default.
• W2885172183 creator A5042038212 @default.
• W2885172183 creator A5074536836 @default.
• W2885172183 date "2019-01-01" @default.
• W2885172183 modified "2023-09-24" @default.
• W2885172183 title "Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks" @default.
• W2885172183 cites W1130627218 @default.
• W2885172183 cites W1434236926 @default.
• W2885172183 cites W1967843633 @default.
• W2885172183 cites W1971040550 @default.
• W2885172183 cites W1971822075 @default.
• W2885172183 cites W1977290284 @default.
• W2885172183 cites W1989279326 @default.
• W2885172183 cites W2000855935 @default.
• W2885172183 cites W2004149199 @default.
• W2885172183 cites W2020701179 @default.
• W2885172183 cites W2025226803 @default.
• W2885172183 cites W2034321226 @default.
• W2885172183 cites W2060275317 @default.
• W2885172183 cites W2075688282 @default.
• W2885172183 cites W2084127140 @default.
• W2885172183 cites W2085276903 @default.
• W2885172183 cites W2093640479 @default.
• W2885172183 cites W2151441002 @default.
• W2885172183 cites W2171960770 @default.
• W2885172183 cites W937050127 @default.
• W2885172183 doi "https://doi.org/10.1016/j.eswa.2018.08.001" @default.
• W2885172183 hasPublicationYear "2019" @default.
• W2885172183 type Work @default.
• W2885172183 sameAs 2885172183 @default.
• W2885172183 citedByCount "29" @default.
• W2885172183 countsByYear W28851721832019 @default.
• W2885172183 countsByYear W28851721832020 @default.
• W2885172183 countsByYear W28851721832021 @default.
• W2885172183 countsByYear W28851721832022 @default.
• W2885172183 countsByYear W28851721832023 @default.
• W2885172183 crossrefType "journal-article" @default.
• W2885172183 hasAuthorship W2885172183A5042038212 @default.
• W2885172183 hasAuthorship W2885172183A5074536836 @default.
• W2885172183 hasConcept C104317684 @default.
• W2885172183 hasConcept C11413529 @default.
• W2885172183 hasConcept C119857082 @default.
• W2885172183 hasConcept C124101348 @default.
• W2885172183 hasConcept C185592680 @default.
• W2885172183 hasConcept C21569690 @default.
• W2885172183 hasConcept C41008148 @default.
• W2885172183 hasConcept C55493867 @default.
• W2885172183 hasConcept C557471498 @default.
• W2885172183 hasConcept C63479239 @default.
• W2885172183 hasConceptScore W2885172183C104317684 @default.
• W2885172183 hasConceptScore W2885172183C11413529 @default.
• W2885172183 hasConceptScore W2885172183C119857082 @default.
• W2885172183 hasConceptScore W2885172183C124101348 @default.
• W2885172183 hasConceptScore W2885172183C185592680 @default.
• W2885172183 hasConceptScore W2885172183C21569690 @default.
• W2885172183 hasConceptScore W2885172183C41008148 @default.
• W2885172183 hasConceptScore W2885172183C55493867 @default.
• W2885172183 hasConceptScore W2885172183C557471498 @default.
• W2885172183 hasConceptScore W2885172183C63479239 @default.
• W2885172183 hasFunder F4320322626 @default.
• W2885172183 hasLocation W28851721831 @default.
• W2885172183 hasOpenAccess W2885172183 @default.
• W2885172183 hasPrimaryLocation W28851721831 @default.
• W2885172183 hasRelatedWork W1497071005 @default.
• W2885172183 hasRelatedWork W1773619406 @default.
• W2885172183 hasRelatedWork W1980122825 @default.
• W2885172183 hasRelatedWork W2294569909 @default.
• W2885172183 hasRelatedWork W2348159088 @default.
• W2885172183 hasRelatedWork W2356507104 @default.
• W2885172183 hasRelatedWork W2363664336 @default.
• W2885172183 hasRelatedWork W2377968345 @default.
• W2885172183 hasRelatedWork W2381935838 @default.
• W2885172183 hasRelatedWork W2383886042 @default.
• W2885172183 hasVolume "115" @default.
• W2885172183 isParatext "false" @default.
• W2885172183 isRetracted "false" @default.
• W2885172183 magId "2885172183" @default.
• W2885172183 workType "article" @default.