Hybrid Recommender Systems via Spectral Learning and a Random Forest
We demonstrate spectral learning can be combined with a random forest classifier to produce a hybrid recommender system capable of incorporating meta information. Spectral learning is supervised learning in which data is in the form of one or more networks. Responses are predicted from features obta...
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| Format: | Others |
| Language: | English |
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Digital Commons @ East Tennessee State University
2019
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| Online Access: | https://dc.etsu.edu/etd/3666 https://dc.etsu.edu/cgi/viewcontent.cgi?article=5144&context=etd |