| Abstrakt: |
Recently, there is difficulty in extracting useful information from huge online information due to the rapid growth of the internet. Therefore, the Recommendation system (RS) is needed for the improvement of many services such as entertainment, e-commerce, healthcare, and financial services. It is an effective tool in the service industry, as it is used for guiding users to an interesting thing from the large space of random things. A recommendation system can discover patterns in input movements and generating system recommendations based on the patterns, thus it can significantly supplement the decision-making process of a stock trader. So, there are many methods for the recommendation process such as collaborative filtering, content-based and hybrid recommendations. Recommendation algorithm can be selected based on the existing research problem. This paper presents a review of the recommendation system, its types, and its applications. Then, this paper concentrated on the finance recommendation system, its operation, and its different finance sectors. [ABSTRACT FROM AUTHOR] |
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