stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
- Cambria, E., Schuller, B., Xia, Y., & Havasi, C. (2013). New avenues in opinion mining and sentiment analysis. Intelligent Systems, IEEE, 28(2), 15-21.
- Choi, K., Yoo, D., Kim, G., & Suh, Y. (2012). A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis. Electronic Commerce Research and Applications, 11(4), 309 - 317. Retrieved from http://www.sciencedirect.com/science/article/pii/S156742231200018X
- Fattah, M. A. (2015). New term weighting schemes with combination of multiple classifiers for sentiment analysis. Neurocomputing, 167, 434 - 442. Retrieved from http://www.sciencedirect.com/science/article/pii/S0925231215005202
- Hu, N., Koh, N. S., & Reddy, S. K. (2014). Ratings lead you to the product, reviews help you clinch it? the mediating role of online review sentiments on product sales. Decision Support Systems, 57, 42 - 53. Retrieved from http://www.sciencedirect.com/science/article/pii/S0167923613001942
- Linden, G., Smith, B., & York, J. (2003). Amazon.com recommendations: Itemto-item collaborative filtering. IEEE Internet Computing, 7(1), 76–80.
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