In this paper, we explore methods for combining multiple recommendation approaches. We studied rank aggregation methods that have been proposed for the ...
In this paper, we explore methods for combining multiple recommendation approaches. We studied rank aggregation methods that have been proposed for the ...
Aug 11, 2017 · The studied methods not only improve the state of the art of recommendation algorithms but they are also simple and efficient. CCS CONCEPTS. • ...
In this paper, we explore methods for combining multiple recommendation approaches. We studied rank aggregation methods that have been proposed for the ...
Combining Top-N Recommenders with Metasearch Algorithms ; Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information ...
Combining Top-N Recommenders with Metasearch Algorithms ...
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In this paper, we explore methods for combining multiple recommendation approaches. We studied rank aggregation methods that have been proposed for the ...
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The proposed approach generates smaller top-n item recommendations list by placing users' unseen items in recommendation listand thus attaining high precision ...
Different algorithms can be assembled by various strategies such as weighting, switching, mixing, cascading, or meta-level hy- bridization [7, 16]. However, ...
In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard ...