{"title":"Research on clothing product reviews mining based on the maximum entropy","authors":"Pengfei Feng, Qinghong Yang","doi":"10.4108/eai.19-8-2015.2260919","DOIUrl":"https://doi.org/10.4108/eai.19-8-2015.2260919","url":null,"abstract":"This paper excavated the review theme of clothing products by method of association rules, and built a maximum entropy model for the reviews classification. Then this paper did experimental verification to large-scale clothing product reviews classification, which verified the practical effect that maximum entropy model had in the comment text classification problems. In the process of classification, the maximum entropy model had a good effect, of which accuracy was over 90%.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124241055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huanbei Zhou, Bo Li, Zhongjiang Yan, Xiaoya Zuo, Mao Yang
{"title":"A QoE aware fairness bi-level resource allocation algorithm for multiple video streaming in WLAN","authors":"Huanbei Zhou, Bo Li, Zhongjiang Yan, Xiaoya Zuo, Mao Yang","doi":"10.4108/eai.19-8-2015.2259765","DOIUrl":"https://doi.org/10.4108/eai.19-8-2015.2259765","url":null,"abstract":"With the increasing of smart devices such as mobile phones and tablets, the scenario of multiple video users watching video streaming simultaneously in one wireless local area network (WLAN) becomes more and more popular. However, the quality of experience (QoE) and the fairness among multiple users are seriously impacted by the limited bandwidth and shared resources of WLAN. In this paper, we propose a novel bi-level resource allocation algorithm. To maximize the total throughput of the network, the WLAN is firstly tuned to the optimal operation point. Then the wireless resource is carefully allocated at the first level, i.e., between AP and uplink background traffic users, and the second level, i.e., among downlink video users. The simulation results show that the proposed algorithm can guarantee the QoE and the fairness for all the video users, and there is little impact on the average throughput of the background traffic users.","PeriodicalId":152628,"journal":{"name":"2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133785105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}