17:40 〜 18:00
[1Q5-OS-29-03] Appliciation of Transfer Learning for cross domain recommendation system
Use cross domian transfer learning for recommendations
キーワード：Transfer Learning, Recommender System, Cross-domain Recommendation Systems
In the big data era, a good Machine learning model requires massive training data with labels. When there is less data available in a target domain, Cross-domain recommendations are useful to leverage richer data from a source domain to improve performance of the recommendation. Cross-domain recommendation has gained lots of interest in recent years.
In this talk, we will talk about the overview of CDR, what are the existing CDR approaches, demonstrate a hands-on application for user profile prediction using CDR, as well as the challenges and future directions.
In this talk, we will talk about the overview of CDR, what are the existing CDR approaches, demonstrate a hands-on application for user profile prediction using CDR, as well as the challenges and future directions.
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