Reader centric real-time electric magazine article generator
| Autor: | Shinya Akatsuka, Mizuki Arai, Yuri Taira, Nobuhito Maruyama, Tomohiro Takagi, Tomoki Takada |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject Relevance feedback Mutual information Recommender system World Wide Web Reading (process) medicine Electronic publishing Relevance (information retrieval) medicine.symptom Confabulation (neural networks) business Generator (mathematics) media_common |
| Zdroj: | SMC |
| DOI: | 10.1109/icsmc.2011.6084225 |
| Popis: | A real-time E-magazine article generation system that uses two article recommendation systems have been developed. The first recommendation system is called the Relevance-Based Recommender, which uses mutual information, and the second is called the Reading History Based Recommender, which uses a confabulation model. Both systems were found to recommend suitable articles. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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