Therefore, the average score indicates the performance of the recommendation methods.
In this case, the recommendation methods for the task need to give a rank to finger out the sequence of items according to the preferences of player roles.
However, there are some prominent problems in directly applying the state-of-the-art recommendation methods to game props recommendation.
Based on the Netflix benchmark data set that simulates a large WoT recommendation space, the proposed method also significantly outperforms state-of-the-art recommendation methods in terms of Mean Absolute Error MAEE).
The proposed algorithm shows better precision than a number of state-of-the-art recommendation methods.
We based classification on prognostic factors mentioned in the European League Against Rheumatism recommendations (method 1) [ 2] and, for confirmation, on the Visser model (method 2), despite its focus on predicting rapid radiographic progression (RRP) [ 4].
The two recommendation methods are designated as the text-input and the picture-input approaches.
For facilitating the discussion, we denote the conventional recommendation methods, i.e., Random, Popular, User-CF, Item-CF, SVD++, and LFM, as Group A and MIML style methods as Group B. The counts that each Group B method is better than all among the Group A approaches, and the counts that each Group B method is worse than any of the Group A methods, are listed as well.
The experimental results demonstrate that our proposed algorithm CTLSVD is better than the traditional recommendation methods in terms of precision, recall and F1-measure.
The business implication of our research is that the proposed recommendation method can enhance the situation awareness of WoT applications which facilitate the reuse of enterprise resources and the interoperability among enterprises.
