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Title: :  Recommendation System for Mining Financial News from Web
PaperId: :  2320
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2320
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bhumika D KarwaL.J.I.E.T

Abstract

Computer Engineering
Financial News, Recommendation, Ontology, Weblog, Registered user, unregistered user
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 .

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IJARIIE Bhumika D Karwa. "Recommendation System for Mining Financial News from Web" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 1021-1026
MLA Bhumika D Karwa. "Recommendation System for Mining Financial News from Web." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 1021-1026.
APA Bhumika D Karwa. (2016). Recommendation System for Mining Financial News from Web. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 1021-1026.
Chicago Bhumika D Karwa. "Recommendation System for Mining Financial News from Web." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 1021-1026.
Oxford 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, 2016, p. 1021-1026. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Recommendation_System_for_Mining_Financial_News_from_Web_ijariie2320.pdf (Accessed : ).
Harvard Bhumika D Karwa. (2016) 'Recommendation System for Mining Financial News from Web', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 1021-1026IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Recommendation_System_for_Mining_Financial_News_from_Web_ijariie2320.pdf (Accessed : )
IEEE 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, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Recommendation_System_for_Mining_Financial_News_from_Web_ijariie2320.pdf [Accessed : ].
Turabian Bhumika D Karwa. "Recommendation System for Mining Financial News from Web." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Bhumika D Karwa. Recommendation System for Mining Financial News from Web. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 1021-1026. Available from: https://ijariie.com/AdminUploadPdf/Recommendation_System_for_Mining_Financial_News_from_Web_ijariie2320.pdf
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