Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297944080> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4297944080 abstract "Recommendation systems make predictions chiefly based on users' historical interaction data (e.g., items previously clicked or purchased). There is a risk of privacy leakage when collecting the users' behavior data for building the recommendation model. However, existing privacy-preserving solutions are designed for tackling the privacy issue only during the model training and results collection phases. The problem of privacy leakage still exists when directly sharing the private user interaction data with organizations or releasing them to the public. To address this problem, in this paper, we present a User Privacy Controllable Synthetic Data Generation model (short for UPC-SDG), which generates synthetic interaction data for users based on their privacy preferences. The generation model aims to provide certain privacy guarantees while maximizing the utility of the generated synthetic data at both data level and item level. Specifically, at the data level, we design a selection module that selects those items that contribute less to a user's preferences from the user's interaction data. At the item level, a synthetic data generation module is proposed to generate a synthetic item corresponding to the selected item based on the user's preferences. Furthermore, we also present a privacy-utility trade-off strategy to balance the privacy and utility of the synthetic data. Extensive experiments and ablation studies have been conducted on three publicly accessible datasets to justify our method, demonstrating its effectiveness in generating synthetic data under users' privacy preferences." @default.
- W4297944080 created "2022-10-01" @default.
- W4297944080 creator A5009592472 @default.
- W4297944080 creator A5016415049 @default.
- W4297944080 creator A5033073898 @default.
- W4297944080 creator A5038612499 @default.
- W4297944080 creator A5039731055 @default.
- W4297944080 creator A5066645865 @default.
- W4297944080 date "2022-09-26" @default.
- W4297944080 modified "2023-09-28" @default.
- W4297944080 title "Privacy-Preserving Synthetic Data Generation for Recommendation Systems" @default.
- W4297944080 doi "https://doi.org/10.48550/arxiv.2209.13133" @default.
- W4297944080 hasPublicationYear "2022" @default.
- W4297944080 type Work @default.
- W4297944080 citedByCount "0" @default.
- W4297944080 crossrefType "posted-content" @default.
- W4297944080 hasAuthorship W4297944080A5009592472 @default.
- W4297944080 hasAuthorship W4297944080A5016415049 @default.
- W4297944080 hasAuthorship W4297944080A5033073898 @default.
- W4297944080 hasAuthorship W4297944080A5038612499 @default.
- W4297944080 hasAuthorship W4297944080A5039731055 @default.
- W4297944080 hasAuthorship W4297944080A5066645865 @default.
- W4297944080 hasBestOaLocation W42979440801 @default.
- W4297944080 hasConcept C123201435 @default.
- W4297944080 hasConcept C124101348 @default.
- W4297944080 hasConcept C142724271 @default.
- W4297944080 hasConcept C154945302 @default.
- W4297944080 hasConcept C160920958 @default.
- W4297944080 hasConcept C204787440 @default.
- W4297944080 hasConcept C23123220 @default.
- W4297944080 hasConcept C2779965156 @default.
- W4297944080 hasConcept C38652104 @default.
- W4297944080 hasConcept C41008148 @default.
- W4297944080 hasConcept C557471498 @default.
- W4297944080 hasConcept C67186912 @default.
- W4297944080 hasConcept C71924100 @default.
- W4297944080 hasConcept C77088390 @default.
- W4297944080 hasConcept C99221444 @default.
- W4297944080 hasConceptScore W4297944080C123201435 @default.
- W4297944080 hasConceptScore W4297944080C124101348 @default.
- W4297944080 hasConceptScore W4297944080C142724271 @default.
- W4297944080 hasConceptScore W4297944080C154945302 @default.
- W4297944080 hasConceptScore W4297944080C160920958 @default.
- W4297944080 hasConceptScore W4297944080C204787440 @default.
- W4297944080 hasConceptScore W4297944080C23123220 @default.
- W4297944080 hasConceptScore W4297944080C2779965156 @default.
- W4297944080 hasConceptScore W4297944080C38652104 @default.
- W4297944080 hasConceptScore W4297944080C41008148 @default.
- W4297944080 hasConceptScore W4297944080C557471498 @default.
- W4297944080 hasConceptScore W4297944080C67186912 @default.
- W4297944080 hasConceptScore W4297944080C71924100 @default.
- W4297944080 hasConceptScore W4297944080C77088390 @default.
- W4297944080 hasConceptScore W4297944080C99221444 @default.
- W4297944080 hasLocation W42979440801 @default.
- W4297944080 hasOpenAccess W4297944080 @default.
- W4297944080 hasPrimaryLocation W42979440801 @default.
- W4297944080 hasRelatedWork W1413286666 @default.
- W4297944080 hasRelatedWork W2022608861 @default.
- W4297944080 hasRelatedWork W2117983043 @default.
- W4297944080 hasRelatedWork W2152117417 @default.
- W4297944080 hasRelatedWork W2369625759 @default.
- W4297944080 hasRelatedWork W2788246224 @default.
- W4297944080 hasRelatedWork W2993584434 @default.
- W4297944080 hasRelatedWork W4284690203 @default.
- W4297944080 hasRelatedWork W4293060476 @default.
- W4297944080 hasRelatedWork W4297944080 @default.
- W4297944080 isParatext "false" @default.
- W4297944080 isRetracted "false" @default.
- W4297944080 workType "article" @default.