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Context based Recommendation Methods: A Brief Review

IJCA Proceedings on International Conference on Cognitive Knowledge Engineering
© 2018 by IJCA Journal
ICKE 2016 - Number 1
Year of Publication: 2018
Arati R. Deshpande
Emmanuel M.

Arati R Deshpande and Emmanuel M.. Article: Context based Recommendation Methods: A Brief Review. IJCA Proceedings on International Conference on Cognitive Knowledge Engineering ICKE 2016(1):13-19, January 2018. Full text available. BibTeX

	author = {Arati R. Deshpande and Emmanuel M.},
	title = {Article: Context based Recommendation Methods: A Brief Review},
	journal = {IJCA Proceedings on International Conference on Cognitive Knowledge Engineering},
	year = {2018},
	volume = {ICKE 2016},
	number = {1},
	pages = {13-19},
	month = {January},
	note = {Full text available}


Recommendation systems consist of methods for recommending products or any items that are of interest to users in web applications for personalized experience. The recommendation helps the users to reduce the time and complexity of searching for the required information. The recommendation methods use the information of users and items as well as users' past history of interaction to suggest preferred items. The context based methods use the situation about the user, item or interaction to give recommendations to users. Currently with the growth of techniques in acquiring the information of interaction of users with the system, the context based methods for recommendation improve the quality of recommendation. A brief review of the approaches and methods for context based recommendation is presented here with the challenges and future directions.


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