Deriving a Categorical Vector Space Model for Web Page Recommendations based on Wikipedia's Content

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Deriving a Categorical Vector Space Model for Web Page Recommendations based on Wikipedia's Content - scientific work related to Wikipedia quality published in 2010, written by Pei-Chia Chang and Luz Marina Quiroga.

Overview

This work models web pages and users for web page recommendation by deriving a categorical vector space model (WikiVSM). Authors augment Wikipedia's categorization system with keywords extracted from Wikipedia' pages. By applying keyword matching, any web page can be mapped into WikiVSM. Authors compare WikiVSM's performance with Vector Space Model (VSM) regarding recommending topically relevant web pages to individual users based on their browsing history. Results indicate that WikiVSM performs significantly better in generating recommendations. This is possibly due to features of Wikipedia and augmentation.

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