Web 2.0 Techniques for Search Engine Optimization: Two Case Studies

نویسنده

  • Ross A. Malaga
چکیده

Search engine optimization (SEO) is a process that seeks to achieve a high ranking in the search engine results for certain search words or phrases. This process typically involves making certain changes to a site, as well as acquiring links from other sites. One aspect of SEO that has begun to receive much attention by practitioners is the use of Web 2.0 sites and technologies. Knowledgeable practitioners are beginning to use Web 2.0 to achieve multiple high search engine rankings for a chosen word or phrase. The two case studies presented show that the use of Web 2.0 techniques can enable sites to rank well in the search engines. In addition, use of these methods may lead to multiple top listings on the search engines. Finally, the speed and flexibility of Web 2.0 sites and methods allows search engine marketers to promote seasonal or “hot” products.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Page Rank based Design and Implementation of Search Engine Optimization

Search Engine Optimization (SEO) is an Internet marketing strategy and a process, widely used now-a-days for improving the volume or quality of traffic to a website through search engines. The results generated by search engines can be natural (organic or algorithmic) and/or paid search. In the present study, different techniques were used for achieving better optimization for Web 2.0 based web...

متن کامل

Identifying valid search engine ranking factors in a Web 2.0 and Web 3.0 context for building efficient SEO mechanisms

It is common knowledge that the web has been continuously evolving, from a read medium to a read/ write scheme and, lately, to a read/write/infer corpus. To follow the evolution, Search Engines have been undergoing continuous updates in order to provide the user with a well-targeted, personalized and improved experience of the web. Along with this focus on content quality and user preferences, ...

متن کامل

Anatomy of a Collaborative Search Engine

We present ExpertRec, a collaborative/social Web search engine. With ExpertRec, users share experts’ search histories (search expertise) through a Web browser toolbar or a proxy browser. As compared to a current web search engine, there are two challenges in ExpertRec: one is to supply a right teamwork environment to satisfy users’ collaborative search; other is to identify search expertise thr...

متن کامل

Exploring the influence of semantic data on the ranking mechanisms of search engines

The web has been evolving towards its Semantic future and, in turn, search engines (SEs) have been evolving to incorporate these changes. Current work probes on search engine ranking factors in a Web 2.0 and Web 3.0 context. To this end, we have created a headless crawler, LSHrank, which employs known search engine APIs, evaluates the results and explores the factors that affect the search engi...

متن کامل

A Survey on Web Spam Detection Methods: Taxonomy

Web spam refers to some techniques, which try to manipulate search engine ranking algorithms in order to raise web page position in search engine results. In the best case, spammers encourage viewers to visit their sites, and provide undeserved advertisement gains to the page owner. In the worst case, they use malicious contents in their pages and try to install malware on the victim’s machine....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009