Dynamic Modeling and Analysis of Multidimensional Hybrid Recommendation Algorithm in Tourism Itinerary Planning under the Background of Big Data
Smart tourism can provide high-quality and convenient services for different tourists, and tourism itinerary planning system can simplify tourists’ tourism preparation. In order to improve the limitation of the recommendation dimension of traditional travel planning system, this paper designs a mixe...
Saved in:
Main Authors: | Yange Hao, Na Song |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2021/9957785 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Key Technologies and Discrete Dynamic Modeling Analysis of Online Travel Planning System Based on Big Data Scenario Aware Service
by: Yange Hao, et al.
Published: (2021-01-01) -
Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework
by: Khalid AL Fararni, et al.
Published: (2021-03-01) -
Systematic Research on the Application of Steel Slag Resources under the Background of Big Data
by: Le Kang, et al.
Published: (2018-01-01) -
Application of Big Data Technology in the Impact of Tourism E-Commerce on Tourism Planning
by: Heqing Zhang, et al.
Published: (2021-01-01) -
Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems
by: Ling Hu, et al.
Published: (2018-06-01)