DSSMFM: Combining user and item feature interactions for recommendation systems
Effort has been done to optimize machine learning algorithms by applying relevant knowledges in data fields in recommendation systems. Ways are explored to discover the relationship of features independently, making the model more effective and robust. A new model, DSSMFM is proposed in this paper w...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | MATEC Web of Conferences |
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| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_03010.pdf |