dc.contributor | 資管系 | |
dc.creator (作者) | Lin, Tsung Fu;Chi, Yan-Ping | |
dc.creator (作者) | 季延平 | zh_TW |
dc.date (日期) | 2014-07 | |
dc.date.accessioned | 16-Jun-2015 15:54:49 (UTC+8) | - |
dc.date.available | 16-Jun-2015 15:54:49 (UTC+8) | - |
dc.date.issued (上傳時間) | 16-Jun-2015 15:54:49 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75839 | - |
dc.description.abstract (摘要) | As of March 2012, there are over six hundred and forty million active websites [5], amid such immense data in the ocean of network, user`s browsing behavior to retrieve information will affect the level of webpage exposure directly. Benjamin Edelman, Michael Ostrovsky and Michael Schwarz reckoned that once obtained a more advanced ranking on search engine, one can obtain higher click through rate [1]. The objective of this study- `Application of webpage optimization for clustering system on search engine- Google study` is to utilize the technologies of TF-IDF, K-means clustering and indexing quality examination to identify the combination of key words that will benefit search engine optimization. The study demonstrated that it can effectively enhance the website`s advancement of ranking on search engine, increase website`s exposure level and click through rate. © 2014 IEEE. | |
dc.format.extent | 176 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation (關聯) | Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014, 2014, 論文編號 6845978, Pages 698-701, 2nd International Symposium on Computer, Consumer and Control, IS3C 2014; Taichung; Taiwan; 10 June 2014 到 12 June 2014; 類別編號E5201; 代碼 106413 | |
dc.subject (關鍵詞) | Behavioral research; Data mining; Websites; Browsing behavior; Click-through rate; E-marketing; EC; K-means clustering; Search engine optimizations; Search Engine-Google; SEO; Search engines | |
dc.title (題名) | Application of webpage optimization for clustering system on search engine v google study | |
dc.type (資料類型) | conference | en |
dc.identifier.doi (DOI) | 10.1109/IS3C.2014.186 | |
dc.doi.uri (DOI) | http://dx.doi.org/10.1109/IS3C.2014.186 | |