An Analysis of Privacy-Aware Personalization Signals by Using Online Evaluation Methods
Arjumand Younus,
Muhammad Atif Qureshi
Abstract:Personalization despite being an effective solution to the problem information overload remains tricky on account of multiple dimensions to consider. Furthermore, the challenge of avoiding overdoing personalization involves estimation of a user's preferences in relation to different queries. This work is an attempt to make inferences about when personalization would be beneficial by relating observable user behavior to his/her social network usage patterns and user-generated content. User behavior on a search … Show more
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