Looking at the open-response answers of users who used the ALEKS extensively and rated the agents lowest, 50% of these responses focused on either time spent working with the agents or a preference for text.
Finally, for 'Select One' (dropdown) and 'Select Multiple' (checkbox) elements, charting can be enabled, so that a pie or bar chart showing the distribution of the answers of users will be shown when the data submitted by mobile phone(s) are viewed at the project website.
Then, information of user's posts including questions and answers of user are extracted by another crawler.
While agreement between and within user groups varied, key factors were prioritized if they were classified as strong (≥ 75% from questionnaire answers of user groups), for decision-making concerning EHR implementation.
In the resulting trade-off between number of prototypes and classification accuracy, it is possible, for example, with 8 prototypes for around 1000 users to predict the answers of new users by using only 30% of the answers of former users, while reducing accuracy by only 13% at the same time.
In other words, the motive is to check whether users copy the answers of other users word-by-word to gain reputation points.
These matrices of real interests were determined from: i) the question sets assigned to the user roles (indirect source), and ii) the answers of the users to those question sets (direct source).
In the present work, we followed two approaches to derive information about new users in the network design and control processes, where both are based on prototype generation for the answers of former users to a QoS related questionnaire.
A typical approach to dealing with such errors is to replicate a single task, then aggregate the answers of several users, for example using fusion algorithms [44].
This is also because, as shown by the answers of the users, the majority of them, which was a 53.9% (38.5 + 15.4%), influenced by the routes of other users and performing a new path to gain more points (Fig. 11).
Nevertheless, the HMMs' performance relies on the smooth distribution of samples per party and on the consistency between the answers of the users, who are classified as belonging to these parties.
