Collaborative Filtering Design Using Genre Similarity and Preffered Genre (장르유사도와 선호장르를 이용한 협업필터링 설계)

김경록; Jaehee Byeon (변재희); Nammee Moon (문남미)

Collaborative Filtering Design Using Genre Similarity and Preffered Genre

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2011, 16(4), pp.161-170
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

김경록 ¹, Jaehee Byeon ¹, Nammee Moon ²

¹호서대학교
²호서대학교벤쳐전문대학원

Accredited

ABSTRACT

As e-commerce and social media service evolves, studies on recommender systems advance, especially concerning the application of collective intelligence to personalized custom service. With the development of smartphones and mobile environment, studies on customized service are accelerated despite physical limitations of mobile devices. A typical example is combined with location-based services. In this study, we propose a recommender system using movie genre similarity and preferred genres. A profile of movie genre similarity is generated and designed to provide related service in mobile experimental environment before prototyping and testing with data from MovieLens.

KEYWORDS

recommender system, collaborative filtering, clustering, multi-property, interactive service, smart phone, LBS

Citation status

* References for papers published after 2023 are currently being built.

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