A Collaborative Filtering Recommender using SOM clustering on Keywords
نویسنده
چکیده
This project comprises designing and implementing a hybrid recommender system for web–pages which uses data from a social tagging system to recommend interesting items to users. For the initial implementation, the tagging data will come from del.icio.us, the oldest and largest public social bookmarking system. The system will cluster items using a self–organizing maps (SOM) network and will include a new SOM visualizer that allows users to see and modify the system’s evaluation of their regions of interest. The focus of the programming project will be a scraper for gathering tagged URLs from del.icio.us, a visualizer, and the recommender. The SOM network code will be based on existing implementations, and two recommenders will be built, with one using a single map for URLs and users and the other using separate maps to compare the relative quality of the recommendations.
منابع مشابه
یک سامانه توصیهگر ترکیبی با استفاده از اعتماد و خوشهبندی دوجهته بهمنظور افزایش کارایی پالایشگروهی
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