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추천 다양화 방법을 적용한 콜드 아이템 추천 정확도 향상
한정규,천세진,Han, Jungkyu,Chun, Sejin 한국멀티미디어학회 2022 멀티미디어학회논문지 Vol.25 No.8
When recommending cold items that do not have user-item interactions to users, even we adopt state-of-the-arts algorithms, the predicted information of cold items tends to have lower accuracy compared to warm items which have enough user-item interactions. The lack of information makes for recommender systems to recommend monotonic items which have a few top popular contents matched to user preferences. As a result, under-diversified items have a negative impact on not only recommendation diversity but also on recommendation accuracy when recommending cold items. To address the problem, we adopt a diversification algorithm which tries to make distributions of accumulated contents embedding of the two items groups, recommended items and the items in the target user's already interacted items, similar. Evaluation on a real world data set CiteULike shows that the proposed method improves not only the diversity but also the accuracy of cold item recommendation.
객체인식 알고리즘 분석을 통한 YOLOv4를 이용한 웹캠 사물인식
한정규(Jung-Gyu Han),한정규(Jung-Gyu Han) 대한전기학회 2022 대한전기학회 학술대회 논문집 Vol.2022 No.11
With the recent development of Internet technology, as COVID-19 is prevalent, more and more people are facing each other online rather than directly talking to each other at work or meetings. In addition, sensor-based object recognition technologies such as front and rear object recognition used in automobile research used in daily life are being introduced in autonomous vehicles, and this shows a huge object recognition rate. However, it is very expensive to introduce sensor-based object recognition technology that shows excellent object recognition rate in everyday life, and mass production is also difficult, so it is very burdensome for students who explore or study basic object recognition. This paper analyzes various object recognition algorithms that can recognize objects through webcams mounted on desktops rather than expensive sensor-based object recognition technology, and implements a program that recognizes basic objects and objects based on YOLOv4-based object recognition algorithm.