CORDIS Project
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CrowdRec develops algorithms for social networks that enhance content recommendations by combining crowdsourcing with traditional methods. This approach aims to create real-time, context-aware smartfeeds that improve user engagement and information exchange.
Millions of people find the digital media that they want and need via social networks, and rely on recommendations to sort a flood of posts, friends, multimedia and promoted content.
Today's users, however, need a new generation of smart recommendations that are able to keep pace with their moment-to-moment needs in their fast-moving, dynamically developing, mobile worlds.
Achieving such social smartfeeds requires facing the grand challenge of providing recommendations that are simultaneously re…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Germany, Berlin
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Germany, Hamburg
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
Spain, Madrid
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Spain, Madrid
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
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