DAN: a deep association neural network approach for personalization recommendation
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.1900236.pdf
Reference40 articles.
1. Aiolli F, 2014. Convex AUC optimization for top-n recommendation with implicit feedback. Proc 8th ACM Conf on Recommender Systems, p.293–296. https://doi.org/10.1145/2645710.2645770
2. Barkan O, Koenigstein N, 2016. Item2Vec: neural item embedding for collaborative filtering. Proc IEEE 26th Int Workshop on Machine Learning for Signal Processing, p.1–6. https://doi.org/10.1109/MLSP.2016.7738886
3. Bayer I, He XN, Kanagal B, et al., 2017. A generic coordinate descent framework for learning from implicit feedback. Proc 26th Int Conf on World Wide Web, p.1341–1350. https://doi.org/10.1145/3038912.3052694
4. Buettner R, 2016. Predicting user behavior in electronic markets based on personality-mining in large online social networks. Electron Mark, 27(3):247–265. https://doi.org/10.1007/s12525-016-0228-z
5. Cao YL, Li WL, Zheng DX, 2018. An improved neighborhood-aware unified probabilistic matrix factorization recommendation. Wirel Pers Commun, 102(4):3121–3140. https://doi.org/10.1007/s11277-018-5332-2
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