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    題名: Application of webpage optimization for clustering system on search engine v google study
    作者: Lin, Tsung Fu;Chi, Yan-Ping
    季延平
    貢獻者: 資管系
    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
    日期: 2014-07
    上傳時間: 2015-06-16 15:54:49 (UTC+8)
    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.
    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
    資料類型: conference
    DOI 連結: http://dx.doi.org/10.1109/IS3C.2014.186
    DOI: 10.1109/IS3C.2014.186
    顯示於類別:[資訊管理學系] 會議論文

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