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Saat et al., 2025 - Google Patents

Beyond Relevance: Enhancing Serendipity in Content-Based Recommendations with Knowledge Graphs

Saat et al., 2025

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Document ID
11863219830201176573
Author
Saat N
Mohd M
Noah S
Al-Ghuribi S
Publication year
Publication venue
IEEE Access

External Links

Snippet

Content-based recommender systems suffer from overspecialization, creating filter bubbles that limit user exploration. Serendipitous recommendations that are unexpected and novel yet relevant offer a solution to this problem. Thus, this paper proposes a novel approach to …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

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    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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