Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/75839


Title: Application of webpage optimization for clustering system on search engine v google study
Authors: Lin, Tsung Fu;Chi, Yan-Ping
季延平
Contributors: 資管系
Keywords: 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
Date: 2014-07
Issue Date: 2015-06-16 15:54:49 (UTC+8)
Abstract: 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.
Relation: 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
Data Type: conference
DOI 連結: http://dx.doi.org/10.1109/IS3C.2014.186
Appears in Collections:[資訊管理學系] 會議論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML770View/Open


All items in 學術集成 are protected by copyright, with all rights reserved.


社群 sharing