Sentence examples for the recommendation task from inspiring English sources

However, most existing trust-based approaches are designed for the recommendation task of rating prediction.

Unlike existing group recommenders based on collaborative filtering (CF) which consider ratings of movies to perform the recommendation task, GroupReM primarily employs (personal) tags for capturing the contents of movies considered for recommendation and group members' interests.

In this paper we present a survey of Recommender Systems designed and implemented for Online and Mobile Social Networks, highlighting how the use of social context information improves the recommendation task, and how standard algorithms must be enhanced and optimized to run in a fully distributed environment, as opportunistic networks.

Following this update rule, the MIML approach will minimize the ranking errors on the recommendation task.

In [66], authors propose to use the recommendation task for evaluating purposes.

LWMF(_u) does the recommendation task based on users, so it can be inferred that selecting points based on users are more reasonable than the other two methods.

We consider only distance-2 neighbors because in the link recommendation task we will restrict our prediction to the closest non-connected pairs for computational efficiency reasons.

For the link recommendation task, we introduce a metric that combines the information from both social and interaction networks to enhance the prediction accuracy.

Then, the game props recommendation task can be cast into an MIML prediction problem.

Here, in this part, we will first take a deep look at the relationships between matrix completion-based recommendation systems and the MIML-based solution, before introducing a new invariant assumption in concept variations for the game props recommendation task.

Chen et al. [29] make the difference between large-scale task coordination, where the platform proactively recommends tasks to the crowd in a coordinated way, and predictive crowd-tasking, where the recommendation of tasks is not solely based on current location.