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- W784868926 abstract "Trends of researches in information filtering has advanced the use of Recommender Systems (RSs) in many E-business sites, and re-shaped their commercial activities. Recommendations made by such systems are casted within an informal community of users and social context. As a result, a number of RS techniques have been proposed. Single and hybrid RSs have been applied to enhance recommendation. In this study, a hybrid recommendation approach for personalized retrieval of research articles was propose to improve researchers' accuracy in research article retrieval. Collaborative, Context-Based, and Knowledge Based filtering approaches of RS are integrated. Results obtained from the filters are amalgamated with an averaging technique to produce optimal result from which top-N are recommended to researchers. Evaluation of results obtained from experimental study shows the model was able to recommend articles with notable precise relevance." @default.
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- W784868926 date "2014-10-01" @default.
- W784868926 modified "2023-10-16" @default.
- W784868926 title "A Hybrid Recommendation Approach for Personalized Retrieval of Research Articles" @default.
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- W784868926 doi "https://doi.org/10.4018/ijirr.2014100103" @default.
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