Research Article
Design and Implementation of the Cross-Harmonic Recommender System Based on Spark
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@INPROCEEDINGS{10.1007/978-3-030-36405-2_47, author={Huang Jie and Liu ChangSheng and Liu ChengLi}, title={Design and Implementation of the Cross-Harmonic Recommender System Based on Spark}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2019}, month={11}, keywords={Spark Hybrid recommendation Recommendation algorithm}, doi={10.1007/978-3-030-36405-2_47} }- Huang Jie
Liu ChangSheng
Liu ChengLi
Year: 2019
Design and Implementation of the Cross-Harmonic Recommender System Based on Spark
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-36405-2_47
Abstract
With the rapid development of information technology, information overload has become an important challenge of Internet. In order to alleviate the growing contradiction between users and massive data, the researchers proposed the concept of the cross-harmonic recommender system. By analyzing characteristic of datasets, recommendation algorithms and method for weight calculation, we introduced a fast and general engine for large-scale data processing and implemented the cross-harmonic recommender system based on Spark, aiming at improving accuracy, diversity and efficiency of the recommender system.
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