Benchmark – Data Analysis Case Study, business and finance homework help. How do you cook baked chicken with boxed stuffing? The systems which are trained by using the combinations of the content related features and the social behavior features, the content related features and the user profile features and the social behavior features and the user profile features respectively. Limitations of Our Proposed Approach In this section, we will analyze the possible limitations of the relations between their featuring way and the features we used for question popularity prediction. Studypool has helped 1,, students. Inspired by previous work on content quality estimation  ,  , we utilize question length to measure the question content quality.
The range of question number in subcategories. Although there is an amount of existing efforts on content popularity prediction in Twitter, the features they utilized are too specific to transfer to other social media applications. Explain what Zewei’s article from the week 4 reading was all about, assignment help. Abstract With the blooming of online social media applications, Community Question Answering CQA services have become one of the most important online resources for information and knowledge seekers. Target hired a data study forensics firm to investigate the case break-in and to help Target with processes, procedures, and study technology investments to thwart future breaches. It greatly facilitates users to seek precise information by obtaining correct answers directly, rather than to painstakingly browse through large ranked lists of results.
Hence, we can employ the number of user interesting tags as the indicator of question popularity.
It illustrates that both of the and features are ambiguous to distinguish the popular questions from unpopular ones. InLerman and Hogg  captured the social dynamic information in Digg and used a linear model to predict the popularity of news by modeling the user votes. To Kill a Mockingbird by Harper Lee. Most business requirements align with multiple enabling application systems. At the same time WNZ will refocus its product offerings towards younger, more high-tech oriented consumers….
Hence, we can assume that popular users may lead to medla questions. Recently, predicting the popularity of online content, especially the User Generated Content UGCbecomes a hot research topic. ACM, volume 31, 76— Figure 1 shows the example of user interesting tags in Yahoo!
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Meanwhile, we will detail these features as follows:. This is because that content related features perform better than the other features in our experiments. In the last column identify the benefits these uses will provide to the corporation. Inspired by previous work on content quality estimation we utilize question length to measure the question content quality. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
If the syudy question is asked by the user with higher level, it is more likely to be a popular question. In fact, CQA questions tend to attract user attention so as to obtain more answers and comments.
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The cashier can server patrons per hour. Yale University Tutors. Instead of directly estimatingwe employ a normalized variant of to derive the estimation: Email required Address never made public.
In caase prediction models, only the content features and the user profiles are used to predict the question popularity. User Profile the level of the asker who submits the question. Meanwhile, we also count the frequency of the questions by their length.
As the firm expanded and acquired new companies, its backend processes and application specific functional software became annswers diverse and less integrated. Intranets also have high levels of security which is very beneficial. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
Hence, it is misclassified as a popular question, while its popularity is 0.
SOLUTION: management information system – Studypool
You are commenting using your Twitter account. Hence, the way of classifying questions may guide the way of users browsing the questions.
We repeat the question popularity prediction experiments using AdaBoost. We first capture the relation between the asker level and the average question popularity. Figure 5 shows the variation of the average question popularity with the growing of the submission time. Example of user interesting tags in Yahoo!
Further it may affect the users cawe question popularity.