Data science for Next Generation Recommender System

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Journal

International Journal of Data Science and Analytics

The International Journal of Data Science and Analytics is a pioneering journal in data science and analytics, publishing original and applied research outcomes.

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Showing 1-5 of 5 articles

ScholarRec: a scholars’ recommender system that combines scholastic influence and social collaborations in academic social networks
Mitali Desai
Rupa G. Mehta
Dipti P. Rana
Regular Paper 14 July 2022 Pages: 203 - 216
A recommendation system for scientific water data
Zhaokun Xue
Alva Couch
Regular Paper Open access 25 April 2021 Pages: 61 - 75
Modeling uncertainty to improve personalized recommendations via Bayesian deep learning
Xin Wang
Serdar Kadıoğlu
Regular Paper 31 March 2021 Pages: 191 - 201
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion
Jing Yuan
Christian Geissler
Brijnesh Jain
Regular Paper Open access 09 October 2020 Pages: 173 - 189
Combination of individual and group patterns for time-sensitive purchase recommendation
Anton Lysenko
Egor Shikov
Klavdiya Bochenina
Regular Paper 08 October 2020 Pages: 163 - 172

Data science for Next Generation Recommender System

Participating journal

International Journal of Data Science and Analytics

Editors

-

Articles

ScholarRec: a scholars’ recommender system that combines scholastic influence and social collaborations in academic social networks

A recommendation system for scientific water data

Modeling uncertainty to improve personalized recommendations via Bayesian deep learning

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion

Combination of individual and group patterns for time-sensitive purchase recommendation

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Data science for Next Generation Recommender System

Participating journal

International Journal of Data Science and Analytics

Editors

-

Articles

ScholarRec: a scholars’ recommender system that combines scholastic influence and social collaborations in academic social networks

A recommendation system for scientific water data

Modeling uncertainty to improve personalized recommendations via Bayesian deep learning

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion

Combination of individual and group patterns for time-sensitive purchase recommendation

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