提升網頁排名之關鍵字建議機制

A Keyword Recommending Mechanism for Improving Webpage Ranking

張聖益(Shen-Yi Chang)

指導教授 ： 林志麟

元智大學/資訊學院/資訊管理學系/碩士(2006年)

摘要

搜尋引擎是目前多數人尋找資料的主要工具，然而，人們通常只會對搜尋結果排名較前面的網頁作進一步的瀏覽，因此，如何提升網頁在搜尋引擎搜尋結果中的排名，對增加網頁的點選率十分重要。網頁內容是搜尋引擎決定網頁排名的主要根據之一，透過在網頁中加入適切的關鍵字可對該網頁的排名有所幫助。然而，目前未有研究說明如何有系統的找出這些有價值的關鍵字。本研究根據Local Feedback技術建立關鍵字的建議機制，使目標網頁所缺乏的重要關鍵字能夠有系統的被找出來。實驗結果發現，無論是直接或運用搜尋引擎最佳化方式將關鍵字加入目標網頁中，目標網頁的排名均可獲得顯著的提升。

關鍵字

搜尋引擎 ； 關鍵字 ； 網頁排名 ； 搜尋引擎最佳化

並列摘要

Search Engine is one of the popular tools people used to look for information on the World Wide Web. Recent studies have shown that a majority of web page accesses are referred by search engines. To find a page on the Web, many Web users go to their favorite search engine, issue keyword queries, and look at the results. When search engines constantly return popular pages at the top of their search results, more Web users will discover and look at those pages, increasing their popularity even further. Thus, to become the top of the search results can help to increase the page popularity. Studies have shown that page contents is one of an important factor which search engines rank web pages, thus, to select the valuable keywords could not only improve the page contents but also the page ranking. But none of the related works show how to find the valuable keywords.

In order to find the valuable keywords systematically, this thesis, we establish a keyword recommendation mechanism by using Local Feedback method. Our study shows more keywords can be discovered and rank of page results can be consequently improved.

並列關鍵字

Search Engine ； Keyword ； Search Engine Optimization

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