A Hotel Recommendation System Based on Collaborative Filtering and Rankboost Algorithm

A Hotel Recommendation System Based on Collaborative Filtering and Rankboost Algorithm

A hotel recommendation system based on collaborative filtering method of clustering and Rankboost algorithm proposed in this paper, which can avoid the cold-start and scalability problems existing in traditional collaborative filtering. One can find a hotel quickly and efficiently when he uses this...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Gao Huming, Li Weili
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Clustering algorithms
Filtering algorithms
Finance
Information filtering
Information filters
Information management
Information technology
International collaboration
Multimedia systems
Scalability
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Beschreibung
Zusammenfassung:A hotel recommendation system based on collaborative filtering method of clustering and Rankboost algorithm proposed in this paper, which can avoid the cold-start and scalability problems existing in traditional collaborative filtering. One can find a hotel quickly and efficiently when he uses this hotel recommendation system.
DOI:10.1109/MMIT.2010.14