A Semi-Supervised Recommender System to Predict Online Job Offer Performance
نویسندگان
چکیده
In domains such as Marketing, Advertising or even Human Resources (sourcing), decisionmakers have to choose the most suitable channels according to their objectives when starting a campaign. With the expansion of internet to advertise, the number of potential channels (and targets) is exponentially growing. Today, a great challenge common to several research domains is the development of intelligent tools to support (or to replace) users in their choices.
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تاریخ انتشار 2011