Optimization method for e-learning document search with keywords which are derived from the keywords and descriptions in the meta-tag of web search results together with thesaurus engine is proposed. 15 to 20% of improvement on hit rate of search performance is confirmed with the proposed search engine. KeywordsSearch engine; e-learning content; thesaurus engine.

 Exploring synonyms within large commercial site search engine queries Julia Kiseleva, Andrey Simanovsky HP Laboratories HPL-2011-41 synonym mining, query log analysis We describe results of experiments of extract-ing synonyms from large commercial site search engine query log. Our primary object is product search queries. The resulting dictionary of synonyms can be plugged into a search engin...

There is a growing need for a set of benchmarking tests for measuring search engines, because research on search engine evaluation is inconsistent in methods and approaches. Using these tests researchers can make comparisons between different search engines and carry out longitudinal studies on a particular search engine with a degree of consistency. Several problems emerge during the evaluatio...

We propose a Optimized Personal Search Engine for mobile , that takes the users’ preferences and data in the form of concepts by analyzing their click through data. I give the importance of location information in mobile search, so my Optimized Personal Search Engine classifies these concepts like content concepts and location concepts. In addition, users locations (positioned by GPS) are used ...

Search engines are used to catalog and organize the vast amount of information available on the internet. Engines use linear algebra to match a user query to words within a document, and also use a matrix model of the hyperlink structure of the internet to determine the inherent worth of each page. This ranking is used to organize results when returned to the user.

In this report, we discuss the architecture and implementation of the Semantic Web Search Engine (SWSE). Following traditional search engine architecture, SWSE consists of crawling, data enhancing, indexing and a user interface for search, browsing and retrieval of information; unlike traditional search engines, SWSE operates over RDF Web data (loosely also known as Linked Data) which implies u...

The paper introduced an art search engine platform that differs from ordinary search engines, which provide users only directly related information about the users’ queries. The art search engine platform introduced in this paper provides users both the directly related introductory information of their queries and the necessary educational background information of the artworks and the artists...

For years and years the search engine researchers focus their efforts on having more accurate and faster search engines. This was more than enough in the past but with the appearance of smart phones the idea of having everything smart became dominant. In this paper we tried to share the dream of having a domain independent search engine and not only an ordinary one but a smart search by voice e...

Web search engines have become the dominant tools for finding information on the Internet. Due to their popularity, users apply them to a wide range of search needs, from simple look-ups to rather complex information tasks. This paper presents the results of a study that investigated the characteristics of these complex information needs in the context of Web search engines. The aim of the stud...

In this paper, we use context information extracted from the documents in the collection to improve the performance of the search engine. In first step, we extract context using Lucene, DBPedia-Spotlight, and Wordnet. As the second step, we build a graph using extracted context information. In the third step, in order to group similar contexts, we cluster context graph. In the fourth step, we r...