Exact(13)
The conference recommendation technique based on WSCS e works as follows.
Collaborative filtering is a popular recommendation technique in the tourism domain.
The experiments indicate as the best performing conference recommendation technique the Cluster-WSCS-based technique.
The recommendation technique remains basically the same, except that it uses the MWSCS score.
Boukhris et al. [17] proposed a recommendation technique for academic venues for a particular target researcher, TR.
The proposed recommendation technique uses collaborative filtering combined with a clustering technique that groups users with similar interests.
Similar(47)
Recall that we proposed three families of recommendation techniques.
We compared AHP-MCR with the traditional recommendation techniques.
Consider first the two conference recommendation techniques based on the co-authorship network, the WSCS-based and MWSCS-based recommendation techniques.
The "Techniques" section introduces the conference comparison and the conference recommendation techniques.
Hence, these techniques are called WSCS-based and MWSCS-based recommendation techniques.
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