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Improving the Performance of Recommendation Systems
- Speaker(s)
- Eyad Kannout
- Affiliation
- MIMUW
- Date
- Dec. 3, 2021, 2:15 p.m.
- Information about the event
- https://meet.google.com/jbj-tdsr-aop
- Seminar
- Seminar Intelligent Systems
The goal of this presentation is to show novel techniques that help to improve the accuracy as well as prediction latency of recommender systems. To improve the accuracy we propose new aggregated forms of user-item matrix by using clustering technique and utilizing
contextual information. On the other hand, we combine factorization machines with association rules to improve the recommendation speed.
All presented methods and results in the presentation are either published or freshly submitted as a research paper.
However, this is also invitation for anyone who is interested in research collaboration in recommendation systems to contact with me for future cooperation.
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Starting November 18 all seminars are on-line only at https://meet.google.com/jbj-tdsr-aop
Od 18 listopada spotkania seminarium odbywają się wyłącznie online pod adresem https://meet.google.com/jbj-tdsr-aop
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Plan wystąpień w tej edycji jest dostępny tutaj
The schedule of presentations can be checked here
