A study on topic models using LDA and Word2Vec in travel route recommendation: focus on convergence travel and tours reviews

Park, Seong-Taek; Liu, Chang

doi:10.1007/s00779-020-01476-2

Cited by 27 publications

(7 citation statements)

References 22 publications

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“…The word embedding learns linguistic regularities and semantics from the sentences and represents the words by vectorized representations [24]. Recently, some of the recommendation methods [24,26,4] used techniques from Word2Vec to represent text-based features, and some of the recommendation algorithms [25,13] applied the techniques to represent items.…”

Section: Recommendation With Word Embeddingmentioning

confidence: 99%

Tourism recommendation based on word embedding from card transaction data

2023

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In the tourism industry, millions of card transactions generate a massive volume of big data. The card transactions eventually reflect customers? consumption behaviors and patterns. Additionally, recommender systems that incorporate users? personal preferences and consumption is an important subject of smart tourism. However, challenges exist such as handling the absence of rating data and considering spatial factor that significantly affects recommendation performance. This paper applies well-known Doc2Vec techniques to the tourism recommendation. We use them on non-textual features, card transaction dataset, to recommend tourism business services to target user groups who visit a specific location while addressing the challenges above. For the experiments, a card transaction dataset among eight years from Shinhan, which is one of the major card companies in the Republic of Korea, is used. The results demonstrate that the use of vector space representations trained by the Doc2Vec techniques considering spatial information is promising for tourism recommendations.

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Section: Recommendation With Word Embeddingmentioning

confidence: 99%

Tourism recommendation based on word embedding from card transaction data

2023

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“…Previous studies used the topic modeling approach to identify the main topics of news reports [12,17,[56][57][58]. For example, Capela and Ramirez-Marquez [12] examined news articles published in specific cities and explored each city's identity and attributes by using topic modeling.…”

Section: News Articles and Topic Modeling Analysismentioning

confidence: 99%

Characteristics and Temporal Trends of Regional Tourism Along the Border Areas

Ahn

Kim

Kim³

2023

Sustainability

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This study aims to extract topics from news articles on DMZ tourism published between 1990 and 2020. This study uses LDA to extract topics within the contents of news articles on DMZ tourism. Furthermore, this study aims to examine the trends of each topic within news articles and identify the characteristics of topics over the past 30 years by developing graphs. A total of 23,093 news articles published from 1990 to 2020 were collected. The data were analyzed using LDA, descriptive analysis, odd ratios, and visualized graphs. The results found that news articles on DMZ tourism can provide considerable information in terms of political, social, and environmental issues. The results provide profiles of news articles on DMZ tourism and identify the unique topics and characteristics of these news articles. The study presents findings regarding topic trends over the last 30 years. All topics show an upward trend from 1990 to 2020. Significant issues have attracted attention to the DMZ region. Furthermore, the findings demonstrate spatial and temporal differences in the volumes of topics. This study identified topics from the past 30 years and important issues related to DMZ tourism that can strengthen the unique features of the DMZ and surrounding area, promoting tourism products and content. The present study contributes to identifying topics of DMZ tourism and temporal changes from 1990 to 2020. The findings can provide meaningful insight into developing policies for DMZ tourism.

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“…At present, the evaluation of labor education is based on the traditional evaluation method, but not on the basis of the goals of labor education, setting the standard for evaluating labor literacy and using modern information technology such as big data, cloud platform and Internet of Things [9][10].…”

Section: Literature Reviewmentioning

confidence: 99%

A Research on the Importance of Labor Education Course in the Construction of Double-Class Universities in China

Jialei¹,

Park²

2021

Ijemr

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Background/Objectives: This study analyzes the equity of the per capita investment scale of students in Korea. Methods/Statistical analysis: To conduct questionnaires and interviews with college students, teachers and parents, to listen to the opinions and suggestions of teachers and students on the labor education curriculum. Findings: Labour education is the training function of labour and the educational activities of young people who love and love labour. Labour education is a new requirement of the New Age Party for education, an important part of the socialist education system with Chinese characteristics, an important part of the overall development of the education system, and an educational activity that must be carried out realization in primary and secondary schools. It is important for the construction of Double-Class Universities in China. Improvements/Applications: In the present curriculum system of China, the education of the five kinds of moral, intellectual, physical, aesthetic and labor is uneven, and the curriculum of labor education is not paid attention. It is especially important to design a local curriculum suitable for the young people.

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A study on topic models using LDA and Word2Vec in travel route recommendation: focus on convergence travel and tours reviews

Cited by 27 publications

References 22 publications

Tourism recommendation based on word embedding from card transaction data

Tourism recommendation based on word embedding from card transaction data

Characteristics and Temporal Trends of Regional Tourism Along the Border Areas

A Research on the Importance of Labor Education Course in the Construction of Double-Class Universities in China

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