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- W2767249079 abstract "Fault-tolerant group recommendation systems based on subspace clustering successfully alleviate high-dimensionality and sparsity problems. However, the cost of recommendation grows exponentially with the size of dataset. To address this issue, we model the fault-tolerant subspace clustering problem as a search problem on graphs and present an algorithm, GraphRec, based on the concept of α-s-core. Moreover, we propose two variants of our approach that use indexes to improve query latency. Our experiments on different datasets demonstrate that our methods are extremely fast compared to the state-of-the-art." @default.
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- W2767249079 date "2017-11-06" @default.
- W2767249079 modified "2023-10-05" @default.
- W2767249079 title "Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core" @default.
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- W2767249079 doi "https://doi.org/10.1145/3132847.3133130" @default.
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