Salim, Naomie and Ahmed, Ahmed Adam (2013) Using trend analysis and social media features to enhance recommendation systems: a systematic literature review. Journal of Theoretical and Applied Information Technology, 55 (3). ISSN 1992-8645
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Abstract
Recently, Recommendation Systems (RSs) became widely used applications to recommend items to users according to the preferences of users on items. This Systematic Literature Review (SLR) aims to collect evidence on ways of using social media and trend analysis to enhance RSs. Moreover, the research identifies the features of social media that can be used to enhance the efficiency and the effectiveness of RSs, identifies the ways to predict trends from social media and the ways of using the result of trend analysis to enhance the efficiency and the effectiveness of RSs. It classifies the collected evidence, reports the results of the classifications, and lists the features of social media that can be used to understand trends and the ways of using the trend analysis to enhance RSs
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | evaluation, prediction, recommender systems, social media, trend analysis |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 49660 |
| Deposited By: | Siti Nor Hashidah Zakaria |
| Deposited On: | 02 Dec 2015 02:09 |
| Last Modified: | 21 Oct 2018 04:33 |
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