Journal of Information Technology & Software Engineering

Journal of Information Technology & Software Engineering
Open Access

ISSN: 2165- 7866

Takahiro Koita

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

  • 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.. Read More»
    DOI: 10.35248/2165-7866.21.11.263

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