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

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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