A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Recommendation of Preferable Photo Contents
International Symposium on Ubiquitous Virtual Reality
This paper presents a recommendation module which provides preferable photo contents to the user from among the huge amount of photo contents in UMPC database. To extract the preferable photo to user, we use a hybrid approach that is combined with context and content-base approach using data mining concept. Using two vectors concerned with the user profile and the photo metadata, we can calculate the cosine similarity between them. The higher cosine similarity indicates that relevant photodblp:conf/isuvr/YuLJ07 fatcat:faiamppeafgu5lju7kqbrdzzdi