A typical web search engine consists of three principal parts: crawling engine, indexing engine, and searching engine. The present work aims to optimize the performance of the cra...
Konstantin Avrachenkov, Alexander N. Dudin, Valent...
In this tool report, we present an overview of the Watson system, a Semantic Web search engine providing various functionalities not only to find and locate ontologies and semanti...
The User-over-Ranking hypothesis states that rather the user herself than a web search engine’s ranking algorithm can help to improve retrieval performance. The means are longer ...
Searching for a person name in a Web Search Engine usually leads to a number of web pages that refer to several people sharing the same name. In this paper we study whether it is ...
Javier Artiles, Julio Gonzalo, Enrique Amigó...
Given that commercial search engines cover billions of web pages, efficiently managing the corresponding volumes of disk-resident data needed to answer user queries quickly is a f...
This paper gives an overview of the evaluation method used for the Web Retrieval Task in the Third NTCIR Workshop, which is currently in progress. In the Web Retrieval Task, we tr...
Koji Eguchi, Keizo Oyama, Emi Ishida, Kazuko Kuriy...
This paper presents an architectural design and evaluation result of an efficient Web-crawling system. The design involves a fully distributed architecture, a URL allocating algor...
In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the...
Personalization of web search results as a technique for improving user satisfaction has received notable attention in the research community over the past decade. Much of this wo...
Any given Web search engine may provide higher quality results than others for certain queries. Therefore, it is in users' best interest to utilize multiple search engines. I...
Ryen W. White, Matthew Richardson, Mikhail Bilenko...