Search results for “site:doi.org”
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602 results
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doi.org
10.1109/tkde.2018.2832132
There are numerous contexts where individuals typically consume a few items from a large selection of possible items. Examples include purchasing products, list
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doi.org
10.1109/tkde.2019.2924656
The number of “hits” has been widely regarded as the lifeblood of many web systems, e.g., e-commerce systems, advertising systems and multimedia consumption sys
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doi.org
10.1109/5.18626
This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and gives practical detail
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doi.org
10.1561/1500000079
Publishers of Foundations and Trends, making research accessible
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doi.org
10.1109/mc.2021.3067225
Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about their algorithms causing major financial or reputational damage. A new ind
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doi.org
10.1109/TII.2014.2308433
Matrix-factorization (MF)-based approaches prove to be highly accurate and scalable in addressing collaborative filtering (CF) problems. During the MF process,
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doi.org
10.3389/fdata.2019.00013
Social data in digital form—including user-generated content, expressed or implicit relations between people, and behavioral traces—are at the core of popula...
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doi.org
10.1109/tkde.2022.3218994
Recommender system usually suffers from severe popularity bias — the collected interaction data usually exhibits quite imbalanced or even long-tailed distributi
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doi.org
10.1109/access.2020.3007617
The number of mobile applications(APPs) has increased dramatically with the development of mobile Internet. It becomes challenging for users to identify these A
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dx.doi.org
10.1038/nature04338
Here we report a high-quality draft genome sequence of the domestic dog (Canis familiaris), together with a dense map of single nucleotide polymorphisms (SNPs) across breeds. The dog is of particular interest because it provides important...
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