NDLI: Personalized Intelligent Hotel Recommendation System for Online Reservation--A Perspective of Product and User Characteristics

Content Provider	IEEE Xplore Digital Library
Author	Xiong Yu-ning Geng Li-xiao
Copyright Year	2010
Abstract	Online hotel reservation makes travel easier, But a large number of online hotel information also makes people become unable to follow. Online hotel reservation websites need try to gain exposure to customers' eyes and recommend a personalized hotel list. Nowadays, Personalized Intelligent Hotel Recommendation Systems have been researched widely, but rarely in online hotel reservation. The paper summarizes representative online hotel reservation websites' personalized recommendation system situation, such as qunar, kuxun, ctrip and elong etc. personalized recommendation have poor performance. This research firstly extracts Hotel Characteristic factor , attempts to analyze customers' browsing and purchasing behaviors and secondly constructs a personalized online hotel marketing recommendation system polymerization model for Multi-level customer ,at last presents an achieve Matlab procedure implementing the core arithmetic of the personalized recommendation.
Starting Page	1
Ending Page	5
File Size	258575
Page Count	5
File Format	PDF
ISBN	9781424453252
DOI	10.1109/ICMSS.2010.5576790
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Filtering Tin History Mathematical model Artificial intelligence Customer profiles
Content Type	Text
Resource Type	Article

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