Recommendation System for Mining Financial News from Web
Abstract & Details
Research Area
Computer Engineering
Keywords
Financial News
Recommendation
Ontology
Weblog
Registered user
unregistered user
Abstract
Now-a-days people tend to read news on line instead of reading via physical newspaper subscription. Meanwhile, finance plays a more and more crucial role in the world. The critical problem people are confronted with is the volumes of financial news are overwhelming to the users. To deal with this challenge, we propose a Action based recommendation technique which help users find the articles that are interesting to read. Action Based Recommendation providing real time dynamic recommendation of genuine news to all the visitors of the website irrespective of been registered or unregistered. To settle the ambiguity problem, ontology is employed to represent the unstructured text data in the form of key concepts which are all stored in the financial domain ontology .
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Bhumika D Karwa | L.J.I.E.T |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Karwa, Bhumika D (2016). Recommendation System for Mining Financial News from Web. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 1021-1026.
MLA Style
Karwa, Bhumika D. "Recommendation System for Mining Financial News from Web." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 1021-1026.
IEEE Style
Bhumika D Karwa, "Recommendation System for Mining Financial News from Web," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 1021-1026, 2016.
Vancouver Style
Karwa Bhumika D. Recommendation System for Mining Financial News from Web. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):1021-1026.
Harvard Style
Karwa, Bhumika D (2016) 'Recommendation System for Mining Financial News from Web', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 1021-1026.
Chicago Style
Karwa, Bhumika D. "Recommendation System for Mining Financial News from Web." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 1021-1026.
Turabian Style
Karwa, Bhumika D. "Recommendation System for Mining Financial News from Web." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 1021-1026.
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