Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 강경태 | - |
dc.contributor.author | Zou Wenbo | - |
dc.date.accessioned | 2019-08-22T16:39:38Z | - |
dc.date.available | 2019-08-22T16:39:38Z | - |
dc.date.issued | 2019. 8 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/109256 | - |
dc.identifier.uri | http://hanyang.dcollection.net/common/orgView/200000435784 | en_US |
dc.description.abstract | In this study, based on the time series characteristics of web browsing records, I proposed a model called Ir-LSTM which draws on the LSTM model, the Skip-Gram embedding method and expand the inputting features with the user information. In addition, a real-time Dynamic Allocation mode is proposed, which is for detecting the traffic burst in real time and correspondingly adjust the correlation coefficient of the model’s output to reach a higher utilization of the server resources and fully maximize the hit ratio of the model. | - |
dc.publisher | 한양대학교 | - |
dc.title | Ir-LSTM: An Intentionality related Deep Learning Method for Web Prefetching | - |
dc.title.alternative | Ir-LSTM: 웹 프리페칭에서의 사용자 의도에 연관한 딥러닝 기법 | - |
dc.type | Theses | - |
dc.contributor.googleauthor | 추문박 | - |
dc.contributor.alternativeauthor | 추문박 | - |
dc.sector.campus | S | - |
dc.sector.daehak | 대학원 | - |
dc.sector.department | 컴퓨터공학과 | - |
dc.description.degree | Master | - |
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