A framework for tag-aware recommender systems
Expert Systems with Applications: An International Journal
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Recently, the number of articles, blog posts, photos and videos on the web is dramatically increasing because of the increase of internet usage. In this situation, the web search is the most important thing in the web. When we search, we can use text information from articles or blog posts. In the case of photos and videos, we can only use a title. If there are tags − significant keywords of that multimedia, we can use tag information to search. Tag is a keyword of text, blog post, or multimedia. Users have already recognized about the value and importance of tags but only a few users are using tags. They might be annoying to add tags or they don't know what to add for good search result. This is why tag suggestion system is needed. Our method analyzes crawled tag data and suggests appropriate tags to user using association pattern and bigram approach. By experi-ments, we conclude that our tag suggestion method suggests appropriate tags.