Search results for “site:doi.org”

Page 10 of about 602 results

doi.org 10.1109/tkde.2018.2832132

Predicting Consumption Patterns with Repeated and Novel Events | IEEE Journals & Magazine | IEEE Xplore

There are numerous contexts where individuals typically consume a few items from a large selection of possible items. Examples include purchasing products, list

doi.org 10.1109/tkde.2019.2924656

On Both Cold-Start and Long-Tail Recommendation with Social Data | IEEE Journals & Magazine | IEEE Xplore

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

doi.org 10.1109/5.18626

A tutorial on hidden Markov models and selected applications in speech recognition | IEEE Journals & Magazine | IEEE Xplore

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

doi.org 10.1109/mc.2021.3067225

Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms | IEEE Journals & Magazine | IEEE Xplore

Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about their algorithms causing major financial or reputational damage. A new ind

doi.org 10.1109/TII.2014.2308433

An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems | IEEE Journals & Magazine | IEEE Xplore

Matrix-factorization (MF)-based approaches prove to be highly accurate and scalable in addressing collaborative filtering (CF) problems. During the MF process,

doi.org 10.3389/fdata.2019.00013

Frontiers | Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Social data in digital form—including user-generated content, expressed or implicit relations between people, and behavioral traces—are at the core of popula...

doi.org 10.1109/tkde.2022.3218994

Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation | IEEE Journals & Magazine | IEEE Xplore

Recommender system usually suffers from severe popularity bias — the collected interaction data usually exhibits quite imbalanced or even long-tailed distributi

doi.org 10.1109/access.2020.3007617

FARM: A Fairness-Aware Recommendation Method for High Visibility and Low Visibility Mobile APPs | IEEE Journals & Magazine | IEEE Xplore

The number of mobile applications(APPs) has increased dramatically with the development of mobile Internet. It becomes challenging for users to identify these A

dx.doi.org 10.1038/nature04338

Genome sequence, comparative analysis and haplotype structure of the domestic dog | Nature

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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