Text recommendation based on time series and multi-label information Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2298/csis200120003y
One of the key functions of the method of text recommendation is to build a correlation analysis to all the text collection. At present, most of the text recommendation methods use the citation network, but less to consider the internal relations, which has become a challenge and an opportunity for the research of text recommendation. Therefore, we propose a new method to ameliorate the above problem based on the time series in this paper. We specify a certain text collection according to the interests of users and integrate the varied label values of the text, then we build the correlation coefficient between text and its related text with the differential analysis, finally the similarity degree of the text is calculated out by using the improved cosine similarity correlation matrix to promote a recommendation of similar text. Our experiments indicate that we are able to ensure the quality of text, with an improvement of accuracy by 8.63% as well as an improvement of recall rate by 5.25%.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2298/csis200120003y
- http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142100003Y
- OA Status
- diamond
- Cited By
- 1
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3153181161
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3153181161Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2298/csis200120003yDigital Object Identifier
- Title
-
Text recommendation based on time series and multi-label informationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Yifeng Yin, Dan Feng, Zhan Shi, Lin OuyangList of authors in order
- Landing page
-
https://doi.org/10.2298/csis200120003yPublisher landing page
- PDF URL
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https://www.doiserbia.nb.rs/ft.aspx?id=1820-02142100003YDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://www.doiserbia.nb.rs/ft.aspx?id=1820-02142100003YDirect OA link when available
- Concepts
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Computer science, Cosine similarity, Information retrieval, Similarity (geometry), Series (stratigraphy), Recall rate, Key (lock), Quality (philosophy), Data mining, Artificial intelligence, Pattern recognition (psychology), Paleontology, Image (mathematics), Computer security, Philosophy, Epistemology, BiologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2022: 1Per-year citation counts (last 5 years)
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25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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