scholarly journals Research on Night Tourism Recommendation Based on Intelligent Image Processing Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Meng Li ◽  
Ning Fan
Keyword(s):  
Recommendation System ◽  
Information Overload ◽  
Rapid Development ◽  
Absolute Error ◽  
Histogram Equalization ◽  
Tourism Industry ◽  
Extraction Technology ◽  
Severe Problem ◽  
Travel Information ◽  
Travel Recommendation

The rapid development of the tourism industry and the Internet era has led to an increasingly severe problem of travel information overload, and travel recommendation methods are essential to solving the information overload problem. Traditional recommendation algorithms only target common travel scenarios during the daytime, combining the ratings and necessary attributes between users and items to calculate similarity for a recommendation. Still, the research on night travel recommendations is one of the few scenarios that needs to be explored urgently. This paper, based on histogram equalization, achieves better experimental results on image enhancement, combines convolutional neural network technology with night image and text comment feature extraction technology, and evaluates the resulting error with mean absolute error (MAE). This paper presents the first night travel recommendation system. It compares it with the traditional collaborative filtering method, and the model proposed in this paper can effectively reduce the prediction error.

scholarly journals Personalized Recommendation Model of High-Quality Education Resources for College Students Based on Data Mining

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chaohua Fang ◽  
Qiuyun Lu
Keyword(s):  
Learning Process ◽  
Data Science ◽  
Recommendation System ◽  
Information Overload ◽  
Rapid Development ◽  
Learning Ability ◽  
Personalized Recommendation ◽  
Learning Resources ◽  
Learner Model ◽  
Internet Education

With the rapid development of information technology and data science, as well as the innovative concept of “Internet+” education, personalized e-learning has received widespread attention in school education and family education. The development of education informatization has led to a rapid increase in the number of online learning users and an explosion in the number of learning resources, which makes learners face the dilemma of “information overload” and “learning lost” in the learning process. In the personalized learning resource recommendation system, the most critical thing is the construction of the learner model. Currently, most learner models generally have a lack of scientific focus that they have a single method of obtaining dimensions, feature attributes, and low computational complexity. These problems may lead to disagreement between the learner’s learning ability and the difficulty of the recommended learning resources and may lead to the cognitive overload or disorientation of learners in the learning process. The purpose of this paper is to construct a learner model to support the above problems and to strongly support individual learning resources recommendation by learning the resource model which effectively reduces the problem of cold start and sparsity in the recommended process. In this paper, we analyze the behavioral data of learners in the learning process and extract three features of learner’s cognitive ability, knowledge level, and preference for learning of learner model analysis. Among them, the preference model of the learner is constructed using the ontology, and the semantic relation between the knowledge is better understood, and the interest of the student learning is discovered.

scholarly journals A Probability-Based Hybrid User Model for Recommendation System

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Jia Hao ◽  
Yan Yan ◽  
Guoxin Wang ◽  
Lin Gong ◽  
Bo Zhao
Keyword(s):  
Product Design ◽  
Recommendation System ◽  
Information Overload ◽  
Rapid Development ◽  
User Model ◽  
Information Communication ◽  
Design Cycle ◽  
Available Information ◽  
User Ratings ◽  
Content Based Filtering

With the rapid development of information communication technology, the available information or knowledge is exponentially increased, and this causes the well-known information overload phenomenon. This problem is more serious in product design corporations because over half of the valuable design time is consumed in knowledge acquisition, which highly extends the design cycle and weakens the competitiveness. Therefore, the recommender systems become very important in the domain of product domain. This research presents a probability-based hybrid user model, which is a combination of collaborative filtering and content-based filtering. This hybrid model utilizes user ratings and item topics or classes, which are available in the domain of product design, to predict the knowledge requirement. The comprehensive analysis of the experimental results shows that the proposed method gains better performance in most of the parameter settings. This work contributes a probability-based method to the community for implement recommender system when only user ratings and item topics are available.

Acquisition System Construction of Travel Information Based on Wireless Sensor Network

2014 ◽  
Vol 608-609 ◽  
pp. 170-174
Author(s):  
Yan Ling Xiao
Keyword(s):  
Hot Spot ◽  
Rapid Development ◽  
Evaluation Research ◽  
Tourism Industry ◽  
System Construction ◽  
Environment Protection ◽  
Low Carbon ◽  
Close Attention ◽  
Tourist Attractions ◽  
Travel Information

At present, while pursuit the spiritual enjoyment, attention has gradually paid to the tourism and tourism industry has developed very rapidly. But at the same time, the rapid development of the tourism industry also brings the problem of ecological environment protection, which is become increasingly outstanding contradiction. All sectors of the community is generally pay close attention to the tourism environment problems, and regard it as a hot spot for research. However, low-carbon tourism concept, the interaction principle of development of tourism activities and tourism environment protection, need from a holistic perspective to do the evaluation research. This paper based on DPSIR model, introduced low-carbon concept into the development of tourism industry, combined with the basic theory of low-carbon tourism, and constructed the development model of low-carbon tourism industry, combined with the actual tourist attractions for empirical research, to make more favorable exploration on direction and way of tourism to achieve low-carbon sustainable development.

Utilizing Facebook Statistics in Tourism Demand Modeling and Destination Marketing

2019 ◽  
Vol 59 (2) ◽  
pp. 195-208 ◽  
Author(s):  
Irem Önder ◽  
Ulrich Gunter ◽  
Stefan Gindl
Keyword(s):  
Information Overload ◽  
Tourism Industry ◽  
Tourism Demand ◽  
Huge Amount ◽  
Travel Information ◽  
Social Media Platform ◽  
Demand Modeling ◽  
Out Of Sample ◽  
Media Platform ◽  
Facebook Pages

Facebook is a popular social media platform used by both the demand and the supply sides of the tourism industry. Since there is a huge amount of information on the Internet, which can lead to information overload, individuals tend to apply the principle of least effort in attempting to obtain useful information as quickly and easily as possible. One of the easiest ways to retrieve travel information is by visiting the Facebook pages of destinations. This study investigates the foundations of the usefulness of Facebook Statistics: in particular of likes on DMO Facebook pages as a potential predictor of tourism demand, in addition to previous arrival numbers. In- and out-of-sample results show that the DMOs of Graz, Innsbruck, Salzburg, and Vienna can already utilize likes as an expedient leading indicator for demand, albeit not the only one. These findings are recommended to be incorporated into the DMOs’ marketing efforts.

scholarly journals Phone-Based Restaurant Recommendation System by Using Position Information and Association Rules

2012 ◽  
Vol 6-7 ◽  
pp. 783-789
Author(s):  
Jian Feng Dong ◽  
Tian Yang Dong ◽  
Jia Jie Yao ◽  
Ling Zhang
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Association Rules ◽  
Recommendation System ◽  
Rapid Development ◽  
Smart Phone ◽  
Smart Phones ◽  
Location Information ◽  
Position Information ◽  
The Real

With the rapid development of smart-phone applications, how to make the ordering process via smart-phones more convenient and intelligent has become a hotspot. This paper puts forward a method of restaurant dish recommendation relying on position information and association rules. In addition, this paper has designed and developed a restaurant recommendation system based on mobile phone. The system would fetch the real-time location information via smart-phones, and provide customers personalized restaurant and dish recommendation service. According to the related applications, this system can successfully recommend the related restaurants and food information to customers.

scholarly journals PERUBAHAN STRUKTUR PENDUDUK AKIBAT PEMBANGIUNAN INDUSTRI PARIWISATA DI PROPINSI BALI

Populasi ◽  
2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Ida Bagoes Mantra
Keyword(s):  
Rural Areas ◽  
Population Distribution ◽  
Rapid Development ◽  
Structural Difference ◽  
Tourism Industry ◽  
Tourist Industry ◽  
Economic Opportunities ◽  
Exact Number ◽  
The People ◽  
Domestic Tourist

Tourism industry in the Province of Bali has rapidly developed lately. This has consequently led to the increase of the number of both foreign and domestic tourist who come to visit Bali.The rapid development of tourist industry in Bali has certain impact on the existing demograpgic structure. As an example, the populatuin growth in the tourist areas has increased considerably caused by the number of migrants who came to the region. Most of these people are non-permanent migrants of which the exact number is never known. If prior to the 1970s the population were clustered in the fertile regions, the population distribution has now changed to following the distribution of tourist industry.Tourist industry may stimulate the people of the rural areas to utilize the present existing economic opportunities. Development both in phusycal an non-physycal aspect in the rural areas is followed by the improvement of transport facilities. These close relations have positively influenced the slight demographic structural difference between urban and rural.

scholarly journals Research on the operation of cultural capital in regional economy Take Xijiang in Guizhou as an example

2021 ◽  
Vol 235 ◽  
pp. 02006
Author(s):  
Cen Yi
Keyword(s):  
Cultural Capital ◽  
National Culture ◽  
Regional Economy ◽  
Rapid Development ◽  
Tourism Industry ◽  
Capital Operation ◽  
The Sustainable Development ◽  
Develop Economy ◽  
Pillar Industry ◽  
The Relationship

In the process of globalization, the integration of world tourism is becoming more and more obvious. With the rapid development of China’s tourism industry, Tourism in many provinces and cities has become a pillar industry or key industry, The various risks it faces are also gradually highlighted. Driven by regional economy, the capitalization operation of national culture is considered to be an effective way to protect national culture and develop economy in ethnic areas. However, national culture has brought many social problems in the process of concrete operation. This paper discusses the realistic dilemma of cultural capitalization in the tourism development of Miao villages in Xijiang, This paper points out that only by clarifying the relationship between the stakeholders in the operation of cultural capital and further clarifying the marketing strategy of cultural capital operation can we ensure the sustainable development of national culture capitalization.

scholarly journals Research on development strategy of ice and snow culture tourism derivatives in Jilin province

2020 ◽  
Vol 1 (2) ◽  
pp. 18-20
Author(s):  
Kejin Zou
Keyword(s):  
Development Strategy ◽  
Rapid Development ◽  
Cultural Tourism ◽  
Chain Structure ◽  
Tourism Industry ◽  
Interactive Technology ◽  
Jilin Province ◽  
Added Value ◽  
Folk Culture ◽  
Industrial Chain

Abstract. With the rapid development of ice and snow tourism industry in Jilin Province, a new economic growth point has been formed. However, the development of ice and snow cultural tourism derivatives is still in its infancy, lacking of creative expansion in breadth and historical excavation in depth, low technological content of products, lacking of added value, single marketing method, and no industrial chain structure. It is an important way to break through the convergence of derivative design of ice and snow culture tourism to tap the ice and snow natural culture and folk culture resources, create interesting derivative image design and develop interactive technology.

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