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Sung-Bae Cho

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.IR1
  • cs.SI1
  • q-fin.TR1

identity via Semantic Scholar / OpenAlex

most citedTimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.IR2022★ 1 cited

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering

Seoyoung Hong, Minju Jo, Seungji Kook +4

Recommender systems are a long-standing research problem in data mining and machine learning. They are incremental in nature, as new user-item interaction logs arrive. In real-worl…

cs.SI2019

Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network

Wonsup Shin, Tae-Young Kim, Sung-Bae Cho

Recently, as the spread of smart devices increases, the amount of data collected through sensors is increasing. A lifelog is a kind of big data to analyze behavior patterns in the…

q-fin.TR2019

Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning

Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho

The autonomous trading agent is one of the most actively studied areas of artificial intelligence to solve the capital market portfolio management problem. The two primary goals of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.