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https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=bus_tourismhospitality
Google Scholar Metrics
Google Scholar Metrics provide an easy way for authors to quickly gauge the visibility and influence of recent articles in scholarly publications. Scholar Metrics summarize recent citations to many publications, to help authors as they consider where to publish their new research.
To get started, you can browse the top 100 publications in several languages, ordered by their five-year h-index and h-median metrics. To see which articles in a publication were cited the most and who cited them, click on its h-index number to view the articles as well as the citations underlying the metrics.
You can also explore publications in research areas of your interest. To browse publications in a broad area of research, select one of the areas in the left column. For example: Engineering & Computer Science or Health & Medical Sciences.
To explore specific research areas, select one of the broad areas, click on the "Subcategories" link and then select one of the options. For example: Databases & Information Systems or Development Economics.
Browsing by research area is, as yet, available only for English publications. You can, of course, search for specific publications in all languages by words in their titles.
Scholar Metrics are currently based on our index as it was in July 2024
h5-index is the h-index for articles published in the last 5 complete years.
It is the largest number h such that h articles published in 2016-2020 have at least h citations each.
Update: July, 2024
https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=bus_tourismhospitality
Publication | h5-index | h5-median | |
---|---|---|---|
1. | International Journal of Hospitality Management | 138 | 222 |
2. | Tourism Management | 129 | 190 |
3. | Current Issues in Tourism | 107 | 158 |
4. | International Journal of Contemporary Hospitality Management | 106 | 147 |
5. | Annals of Tourism Research | 97 | 152 |
6. | Journal of Sustainable Tourism | 91 | 147 |
7. | Journal of Travel Research | 86 | 119 |
8. | Tourism Management Perspectives | 85 | 114 |
9. | Journal of Hospitality and Tourism Management | 84 | 131 |
10. | Journal of Destination Marketing & Management | 74 | 126 |
11. | Tourism Review | 73 | 102 |
12. | Journal of Hospitality Marketing & Management | 68 | 106 |
13. | Tourism Geographies | 60 | 128 |
14. | Journal of Travel & Tourism Marketing | 59 | 100 |
15. | Journal of Hospitality & Tourism Research | 53 | 80 |
16. | Tourism Economics | 51 | 74 |
17. | International Journal of Tourism Research | 51 | 64 |
18. | Asia Pacific Journal of Tourism Research | 48 | 69 |
19. | Journal of Tourism Futures | 47 | 87 |
20. | Tourism Recreation Research | 46 | 70 |
2024 | Publication | h5 | h5m |
1 | 138 | 222 | |
2 | Tourism Management | 129 | 190 |
3 | International Journal of Contemporary Hospitality Management | 107 | 158 |
4 | Current Issues in Tourism | 106 | 147 |
5 | Annals of Tourism Research | 97 | 152 |
6 | Journal of Travel Research | 91 | 147 |
7 | Journal of Sustainable Tourism | 86 | 119 |
8 | Tourism Management Perspectives | 85 | 114 |
9 | Journal of Hospitality and Tourism Management | 84 | 131 |
10 | Journal of Destination Marketing & Management | 74 | 126 |
11 | Tourism Review | 73 | 102 |
12 | Journal of Hospitality Marketing & Management | 68 | 106 |
13 | Tourism Geographies | 60 | 128 |
14 | Journal of Travel and Tourism Marketing | 59 | 100 |
15 | Journal of Hospitality and Tourism Research | 53 | 80 |
16 | Tourism Economics | 51 | 74 |
17 | International Journal of Tourism Research | 51 | 64 |
18 | Asia Pacific Journal of Tourism Research | 48 | 69 |
19 | Journal of Tourism Futures | 47 | 87 |
20 | Tourism Recreation Research | 46 | 70 |
- 文章信息
- 作者: kaiwu
- 点击数:1034
From Wikipedia, the free encyclopedia
Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text.
It is the third-generation language prediction model in the GPT-n series (and the successor to GPT-2) created by OpenAI, a San Francisco-based artificial intelligence research laboratory.[2] GPT-3's full version has a capacity of 175 billion machine learning parameters. GPT-3, which was introduced in May 2020, and was in beta testing as of July 2020,[3] is part of a trend in natural language processing (NLP) systems of pre-trained language representations.
This is a real example, see https://www.ambrogiorobot.com/en. Disclosure: LF owns one.
See https://en.wikipedia.org/wiki/ELIZA. A classic book still worth reading on the ELIZA effect and AI in general is (Weizenbaum 1976). In 2014 some people claimed, mistakenly, that a chatbot had passed the test. Its name is “Eugene Goostman”, and you can check it by yourself, by playing with it here: http://eugenegoostman.elasticbeanstalk.com/. When it was tested, I was one of the judges, and what I noticed was that it was some humans who failed to pass the test, asking the sort of questions that I have called here “irreversible”, such as (real examples, these were asked by a BBC journalist) “do you believe in God?” and “do you like ice-cream”. Even a simple machine tossing coins would “pass” that kind of test.
See for example the Winograd Schema Challenge (Levesque et al. 2012).
For an excellent, technical and critical analysis, see McAteer (https://matthewmcateer.me/blog/messing-with-gpt-3/ ." data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" aria-label="Reference 2020">2020). About the “completely unrealistic expectations about what large-scale language models such as GPT-3 can do” see Yann LeCun (Vice President, Chief AI Scientist at Facebook App) here: https://www.facebook.com/yann.lecun/posts/10157253205637143.
The following note was written by the journalists, not the software: “[…] GPT-3 produced eight different outputs, or essays. Each was unique, interesting and advanced a different argument. The Guardian could have just run one of the essays in its entirety. However, we chose instead to pick the best parts of each, in order to capture the different styles and registers of the AI. Editing GPT-3’s op-ed was no different to editing a human op-ed. We cut lines and paragraphs, and rearranged the order of them in some places. Overall, it took less time to edit than many human op-eds.” (GPT-3 2020).
For some philosophical examples concerning GPT-3, see http://dailynous.com/2020/07/30/philosophers-gpt-3/.
For a more extended, and sometimes quite entertaining, analysis see (Lacker https://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html ." data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" aria-label="Reference 2020">2020).
For an interesting analysis see (Elkins and Chun 2020).
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- 作者: kaiwu
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https://gs.statcounter.com/browser-market-share/desktop/worldwide/#monthly-200901-202301
The market share of web browsers for desktop.
全球桌面电脑网页浏览器软件的市场份额,数据来自statcounter.com
1.Google chrome
https://www.google.com/chrome/
https://pc.qq.com/detail/1/detail_2661.html
2.Microsoftware IE,Edge_Legacy,Edge
https://www.microsoft.com/edge
3.Firefox
https://www.mozilla.org/en-US/firefox/new/
http://www.firefox.com.cn/
4.Apple Safari
https://www.apple.com.cn/safari/
5.Opera
https://www.opera.com/browsers/opera
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- 作者: kaiwu
- 点击数:716
## what is cheat sheet
[https://en.wikipedia.org/wiki/Cheat_sheet](https://en.wikipedia.org/wiki/Cheat_sheet)
A cheat sheet (also cheatsheet) or crib sheet is a concise set of notes used for quick reference.
Cheat sheets are so named because they may be used by students without the instructor's knowledge to cheat on a test. However, at higher levels of education where rote memorization is not as important as in basic education, students may be permitted to consult their own notes (crib notes, or crib sheet) during the exam (which is not considered cheating). The act of preparing a crib sheet can be an educational exercise, and students are sometimes only allowed to use crib sheets they have written themselves.
https://www.rstudio.com/resources/cheatsheets/#contributed-cheatsheets
https://github.com/rstudio/cheatsheets/raw/master/powerpoints/0-template.pptx
http://kaiwu.city/index.php/downloads?task=download.send&id=5&catid=3&m=0
{pdf=images/R_cheatsheets.pdf|100%|1024|native}
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- 作者: kaiwu
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https://www.ted.com/talks/juan_enriquez_how_technology_changes_our_sense_of_right_and_wrong