AbstractIn a World Wide Web continuously growing the need for searching information keeps also growing. The search functionality can be applied to several domains as long as the amount of data justifies it. In this paper we make an evolution of a previous defined algorithm for optimizing documental searches. In this new algorithm we include category disambiguation and number of citations to increase the precision of returned results. We use Mendeley reference manager system to evaluate our algorithm, making a comparison with the results obtained in both cases
Web Search Engines (WSEs) are probably nowadays the most complex information systems since they need...
Given a set of documents and an input query that is expressed in a natural language, the problem of ...
Search engines are now the main source for information retrieval due to the huge expansion of data o...
AbstractIn a World Wide Web continuously growing the need for searching information keeps also growi...
AbstractSearch for documents is a common and pertinent task lots of organizations face every day as ...
AbstractSearch for documents is a common and pertinent task lots of organizations face every day as ...
Synonymy & polysemy of natural languages together with information overload are two main factors tha...
With 13,000,000 volumes comprising 4.5 billion pages of text, it is currently very difficult for sch...
With 13,000,000 volumes comprising 4.5 billion pages of text, it is currently very difficult for sch...
With 13,000,000 volumes comprising 4.5 billion pages of text, it is currently very difficult for sch...
With the exponential growth of the Web and the inherent polysemy and synonymy problems of the natura...
Existing Web search engines such as Google mostly adopt a keyword-based approach, which matches the ...
With 13,000,000 volumes comprising 4.5 billion pages of text, it is currently very difficult for sch...
People use web search engines to fill a wide variety of navigational, informational and transactiona...
The Web has become the world’s largest database, with search being the main tool that allows organi...
Web Search Engines (WSEs) are probably nowadays the most complex information systems since they need...
Given a set of documents and an input query that is expressed in a natural language, the problem of ...
Search engines are now the main source for information retrieval due to the huge expansion of data o...
AbstractIn a World Wide Web continuously growing the need for searching information keeps also growi...
AbstractSearch for documents is a common and pertinent task lots of organizations face every day as ...
AbstractSearch for documents is a common and pertinent task lots of organizations face every day as ...
Synonymy & polysemy of natural languages together with information overload are two main factors tha...
With 13,000,000 volumes comprising 4.5 billion pages of text, it is currently very difficult for sch...
With 13,000,000 volumes comprising 4.5 billion pages of text, it is currently very difficult for sch...
With 13,000,000 volumes comprising 4.5 billion pages of text, it is currently very difficult for sch...
With the exponential growth of the Web and the inherent polysemy and synonymy problems of the natura...
Existing Web search engines such as Google mostly adopt a keyword-based approach, which matches the ...
With 13,000,000 volumes comprising 4.5 billion pages of text, it is currently very difficult for sch...
People use web search engines to fill a wide variety of navigational, informational and transactiona...
The Web has become the world’s largest database, with search being the main tool that allows organi...
Web Search Engines (WSEs) are probably nowadays the most complex information systems since they need...
Given a set of documents and an input query that is expressed in a natural language, the problem of ...
Search engines are now the main source for information retrieval due to the huge expansion of data o...