Semantic processing system (SPS) is a system that performs phrase search of web content. SPS takes a user query in natural language, converts it to a keyword query, expands the keyword query with synonyms, hypernyms, hyponyms, and meronyms, and presents the keyword query to a search engine. SPS then sifts through the search engine result pages extracting grammatical and semantic information fro...

Search engines are commercial entities that require revenue to survive. The most prevalent revenue stream for search engines is sponsored search, where content providers have search engines service their links to users in response to queries or in a contextual manner on relevant Web sites. In exchange for providing this service, content providers pay search engines based on the number of clicks...

With the huge number of web pages that exist today, search engines assume an important role in the current Internet. But even if they allow to find relevant pages for any search topic, nowadays the number of results returned is often too big to be carefully explored. Moreover, the needs of the users vary, so that what may be interesting for one may be completely irrelevant for another. The role...

This is the world of information. The size of world wide web [4,5] is growing at an exponential rate day by day. The information on the web is accessed through search engine. These search engines [8] uses web crawlers to prepare the repository and update that index at an regular interval. These web crawlers [3, 6] are the heart of search engines. Web crawlers continuously keep on crawling the w...

A standard model for sponsored search comprises of ranking ads by their expected revenue, that is, the product of their bid price and estimated click-through rate (CTR). In this work, we introduce two complementary use cases for ranking ads at an online classifieds site and aim to optimize a ranking formula which extends the traditional one. First, we address the task of ranking ads on the sear...

Purpose – The purpose of this research project was to determine how the three biggest search engines interpret keyword stuffing as a negative design element. Design/methodology/approach – This research was based on triangulation between scholar reporting, search engine claims, SEO practitioners and empirical evidence on the interpretation of keyword stuffing. Five websites with varying keyword ...

We have developed a location-based search system for web documents on the Internet. This system can find web documents based on the distance between locations that are described in web documents and a location specified by a user. It consists of three modules. (1) A robot that gathers documents from the Internet, (2) a parser that extracts address strings from web documents and associates latit...

In this paper we are trying to propose a system that can run in parallel with the usual search engine to provide the user with unified and summarized information. Our system will relieve the user of manual accessing of each of the web links that is produced by the search result of a search engine. To implement such feature in the search process, here we propose a procedure that can identify the...

Purpose – The purpose of this paper is to identify the most popular techniques used to rank a web page highly in Google. Design/methodology/approach – The paper presents the results of a study into 50 highly optimized web pages that were created as part of a Search Engine Optimization competition. The study focuses on the most popular techniques that were used to rank highest in this competitio...

In the Web search process people often think that the hardest work is done by the search engines or by the directories which are entrusted with finding the Web pages. While this is partially true, a not less important part of the work is done by the user, who has to decide which page is relevant from the huge set of retrieved pages. In this paper we present a graphical visualisation tool aimed ...