منابع مشابه
A Hybrid Recommender : User
Over the last decade, the Internet has become an involving medium and user-generated content is continuously growing. Recommender systems that exploit user feedback are widely used in e-commerce and quite necessary for business enhancement. To make use of such user feedback, we propose a new content/collaborative hybrid approach, which is built on top of the recently released hetrec2011-moviele...
متن کاملA Modular Hybrid Recommender Engine
We present an architecture for a user goal-adaptable hybrid recommender engine that flexibly and dynamically integrates heterogeneous data sources and algorithms to improve the user experience. To this end, we identify three main goals which recommender engines should support and introduce a modular and configurable engine that helps meet these goals. We illustrate practical benefits of the rec...
متن کاملHybrid Web Recommender Systems
Adaptive web sites may offer automated recommendations generated through any number of well-studied techniques including collaborative, content-based and knowledge-based recommendation. Each of these techniques has its own strengths and weaknesses. In search of better performance, researchers have combined recommendation techniques to build hybrid recommender systems. This chapter surveys the s...
متن کاملA Personalized Hybrid Web Recommender System
Personalized recommender system has attracted wide range of attention among researchers in recent years. There has been a huge demand for development of web search apps for gaining knowledge pertaining to user‟s choice. A strong knowledge base, type of approach for search and several other factors make it accountable for a good personalized web search engine. This paper presents the state of ar...
متن کاملA Framework for Training Hybrid Recommender Systems
Recommender Systems (RS) are widely used to provide users with personalized suggestions taken from an extended variety of items. One of the major challenges of RS is the accuracy in cold-start situations where little feedback is available for a user or an item. Exploiting available user and item metadata helps to cope with this problem.We propose a hybrid training framework consisting of two pr...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/8840-3071