Investigation of the Effectiveness of Tag-Based Contextual Collaborative Filtering in Website Recommendation
As the Internet continues to mature and become more accessible to the common user, the amount of available information increases exponentially. Accordingly, finding useful and relevant information is becoming progressively difficult. Moreover, a lot of the information available—blogs, various types of reviews, and so forth— is highly subjective and thus, hard to evaluate purely through machine algorithms. Being subjective in nature, one person may absolutely love something while the next may loathe the same—no single authority exists. It is in these cases where people— more so than the current ability of machine algorithms—are greatly effective in evaluating and filtering this information.
KeywordsCollaborative Filter Score Prediction Similar User Recommendation Method Computer Support Cooperative Work
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