Journal of Information Technology & Software Engineering
Open Access

Faculty of Science and Technology, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto, Japan

Biography

Daiki Takigawa is working as Department of Science and Technology, Doshisha University. His international experience includes various programs, contributions and participation in different countries for diverse fields of study. His research interests reflect in his wide range of publications in various national and international journals.

Publications

• Research Article   
  Proposal of a Hybrid Recommendation Algorithm to Support the Discovery for Mashup Applications
  Author(s): Takahiro Koita* and Daiki Takigawa
  
  This paper proposes a recommendation algorithm which combines collaborative filtering and content based algorithm. The proposed algorithm provides recommendation list that combines recommendation items generated each algorithms, and improves the novelty and the precision of recommendation. Especially, if the precision is low, the content-based algorithm should have higher priority and if the precision is high, the collaborative filtering should have higher priority. Therefore, this paper discusses and investigates priority rules and priority through the preliminary experiments. The priority rules are some rules to decide priority algorithm when combine two existing algorithms. The priority is a weight for priority algorithm. To decide appropriate priority rules and priority, the proposed algorithm was implemented on the Linked Mash which is our recommendation system of mashup applicat.. View More»
  DOI: 10.35248/2165-7866.21.11.263

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