10.1371/journal.pone.0178118.g001
Jian-Guo Liu
Jian-Guo
Liu
Xiao-Lu Liu
Xiao-Lu
Liu
Qiang Guo
Qiang
Guo
Jing-Ti Han
Jing-Ti
Han
(Color online) Degree evolution 〈<i>ρ</i><sub><i>O</i></sub>(<i>t</i>)〉 of two divided object groups (a,b) and the ratio <i>ϕ</i> of rewarded objects in two divided object groups with different parameter <i>q</i> (c,d) for two empirical data sets, in which the time <i>t</i> is measured in days, and the parameter <i>θ</i> is set to 0.3 and 0.6 for the MovieLens and Netflix data sets, respectively.
Public Library of Science
2017
object
behavior patterns
user behavior patterns
perceptibility users show
user rating series
2017-07-13 17:35:09
Figure
https://plos.figshare.com/articles/figure/_Color_online_Degree_evolution_i_i_sub_i_O_i_sub_i_t_i_of_two_divided_object_groups_a_b_and_the_ratio_i_i_of_rewarded_objects_in_two_divided_object_groups_with_different_parameter_i_q_i_c_d_for_two_empirical_data_sets_in_which_the_time_i_t_i_is_measured_i/5204503
<p>From the subplots (a,b) one can find that the average degrees of objects rated by high perceptibility users in the future time window are larger than those of the other objects. From the subplots (c,d) one can find that the ratio <i>ϕ</i> of rewarded objects in objects rated by high perceptibility users is higher than that in the other objects with different parameter <i>q</i>. The results indicate that the user perceptibility is helpful to find the potential rewarded objects.</p>