CONTEXT INDEXING IN SEARCH ENGINE USING BINARY SEARCH TREE
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 6
Abstract
Indexing in search engines is an active area of current researches and the aim of search engines is to provide the most relevant documents to the users in least possible time. In this paper a context based indexing is proposed where the index list stores the available context along with the keywords. Thus the information will be more relevant as the context of the topic is also made available to the retrieval system. For indexing the keyword extracted from the web documents along with their contexts are stored in Binary Search Tree (BST), to enhance the performance of the search engine.
Authors and Affiliations
Charu Kathuria , Goutam Datta , Vanditaa Kaul
Keywords
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