But the late hour did nothing to dampen the carnival atmosphere: fans had come armed with game props, and were in costume, or at least wearing T-shirts with official logos.
"Game props recommendation" is directed against the four issues discussed in this section, and introduces our game props recommendation solutions under the multi-instance multi-label framework.
Thus, recommendation can be applied in phone game props sales similar to common goods transactions.
Then, the game props recommendation task can be cast into an MIML prediction problem.
Second, Long-Distance Intervention (LDI) Player purchasing game props can be affected by events occurred long ago.
Nevertheless, user profiles and preferences cannot represent the Complicated Dependencies and Long-Distance Interventions in the game props recommendation tasks.
However, there are some prominent problems in directly applying the state-of-the-art recommendation methods to game props recommendation.
Props in a certain game can be only bought and applied to the same APP; therefore, game props trade is a kind of monopoly sales to some extent.
The problem brought forward by complicated dependency on context and long-distance intervention is mainly related to the representation of game props recommendation task.
Our practice on game props recommendation reflects the enormous potential of the multi-instance multi-label learning framework in commercial applications.
In this paper, we systematically analyze the specific natures of game props recommendation for the first time, and attribute the problems into four aspects: the complicated dependencies on contexts, long-distance interventions, props priority-role dependencies, and concept variations.
