Research Advanced in the Recommendation Algorithms
DOI:
https://doi.org/10.54097/hset.v49i.8585Keywords:
Recommendation Algorithms, Collaborative Filtering, Deep Learning, Cross-domain Recommendations.Abstract
In this era of explosive growth of information resources, how to efficiently access the needed resources has become a problem for people. In response to the above practical application requirements, the recommendation system has gradually become a new research hotspot, whose basic task to provide users with efficient and accurate recommendations by modeling the historical behavior of users. In this paper, based on detailed literature research and analysis, we present a comprehensive review of the research work on recommendation technology. Specifically, we summarize three representative methods of recommender systems according to different design ideas, which mainly includes collaborative filtering recommendation algorithm, deep learning recommendation algorithm, and cross-domain recommendation algorithm. Then we analyze the respective advantages of different algorithms and give an outlook on the future research directions of recommendation system.
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