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International Journal of Data Science and Analytics

Ausgabe 2/2023

Special Issue: Data science for next-generation recommender systems

Inhalt (11 Artikel)


Data science for next-generation recommender systems

Shoujin Wang, Yan Wang, Fikret Sivrikaya, Sahin Albayrak, Vito Walter Anelli

Regular Paper

TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data

Minsung Hong, Namho Chung, Chulmo Koo, Sun-Young Koh

Regular Paper

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

Anton Lysenko, Egor Shikov, Klavdiya Bochenina

Open Access Regular Paper

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

Jing Yuan, Christian Geissler, Weijia Shao, Andreas Lommatzsch, Brijnesh Jain

Open Access Regular Paper

A probabilistic perspective on nearest neighbor for implicit recommendation

Domokos M. Kelen, Andras A. Benczúr

Open Access Regular Paper

Pull–push: a measure of over- or underpersonalization in recommendation

Gebrekirstos G. Gebremeskel, Arjen P. de Vries

Regular Paper

Attenuated sentiment-aware sequential recommendation

Donglin Zhou, Zhihong Zhang, Yangxin Zheng, Zhenting Zou, Lin Zheng

Regular Paper

A deep meta-level spatio-categorical POI recommender system

Chaima Laroussi, Raouia Ayachi

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