This document summarizes Valentina Maccatrozzo's research on using creative thinking models to identify Linked Open Data (LOD) patterns that can burst filter bubbles and promote serendipity in personalization. The research aims to address the problem of over-personalization limiting a user's exposure to novel interests. It explores using LOD to discover new user interests and measures of serendipity, and the effect of time on serendipity. The approach applies creative thinking models to create serendipitous paths in the LOD cloud that can improve personalization techniques.

1. Burst the Filter Bubble:
Using Creative Thinking to Identify LOD patterns for Serendipity
Valentina Maccatrozzo - VU University Amsterdam
Advisors: Willem van Hage & Lora Aroyo
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The problem
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Personalization techniques help people to
avoid information overload, but often lead S S
to over-personalization, preventing the user OVER-PERSONALIZATION
from seeing potentially interesting content.
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Research questions S S
✓ Can we use LOD to discover novel user interests? S S
✓ How can we measure serendipity? SERENDIPITOUS PERSONALIZATION
✓ What is the effect of time on serendipity?
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We apply creative thinking models to create
serendipitous paths in the LOD cloud. We use
these paths to improve existing personalization
techniques.
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