An interactive nonparametric evidential regression algorithm with instance selection

Gong, Chaoyu; Wang, Peihong; Su, Zhi‐gang

doi:10.1007/s00500-020-04667-4

Cited by 10 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thirdly, sample training is implemented for the classification model. All metadata samples are labeled with user rating thresholds to form a dataset with three columns to fully display age, gender and other relevant information associated with different user IDs [16].…”

Section: Cascading Hybrid Algorithmmentioning

confidence: 99%

Research on the Design of Mass Recommendation System Based on Lambda Architecture

Chen

Zhu

et al. 2021

JWE

View full text Add to dashboard Cite

In the era of big data, in order to increasing the information data for conforms to the personalized needs of content, research scholars put forward based on the Lambda mass recommendation system architecture design, it can not only to the recessive and dominant behavior of users of the system data collection storage and research analysis, can also be based on the analysis of cascading hybrid algorithm to explore how to carry out real-time recommendation. Therefore, on the basis of understanding the research and development achievements of recommender systems at home and abroad in recent years, and based on the understanding and analysis of Lambda architecture and cascading hybrid algorithm, this paper aims at how to design a massive recommender system in line with users’ behavior, and makes clear the recommendation effect by combining with system testing.

show abstract

Section: Cascading Hybrid Algorithmmentioning

confidence: 99%