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Da Costa et al., 2014 - Google Patents

Improving personalized ranking in recommender systems with multimodal interactions

Da Costa et al., 2014

View PDF
Document ID
6963515182144920297
Author
Da Costa A
Domingues M
Rezende S
Manzato M
Publication year
Publication venue
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

External Links

Snippet

This paper proposes a conceptual framework which uses multimodal user feedback to generate a more accurate personalized ranking of items to the user. Our technique is a response to the actual scenario on the Web, where users can consume content following …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30867—Retrieval 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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