%0 Journal Article %1 Kurinchi_2015 %A Meenakshi, B. Kurinchi %A Nalini, Dr. C. %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Personalization Ranking Re Relevance Status Value XML algorithm k ranking top %N 3 %P 1320--1322 %R 10.17762/ijritcc2321-8169.150392 %T Survey on Managing XML Search through Personalization %U http://dx.doi.org/10.17762/ijritcc2321-8169.150392 %V 3 %X Information Retrieval IR based on keyword on web has become very significant and XML has become the widely used format for sharing of information. The number of resources of information has increased significantly and retrieval of correct data according to user preference may not be achieved efficiently. In order to improve the search of XML documents according to the user requirement and preference we use personalized search based on user preference stored as an XML. The problem in personalized search is in identifying the correct preferences based on the search text. In this paper we have done a survey of papers related to XML search and personalization. From this survey we have come up with a proposed solution, to store the user preferences with keywords and sub preferences as an XML document and related text as keywords. To identify the user preferences based on the query the user preference XML is loaded. The user preference nodes related to the keyword is identified and ranked based ranking function of top k algorithm. The documents will now be listed based on keyword and also based on keyword and preference node combination. The relevance status value of the resulting documents will be identified in both the search and the final search result will be listed by considering the RSV value using the re-ranking strategies

@article{Kurinchi_2015, abstract = {Information Retrieval IR based on keyword on web has become very significant and XML has become the widely used format for sharing of information. The number of resources of information has increased significantly and retrieval of correct data according to user preference may not be achieved efficiently. In order to improve the search of XML documents according to the user requirement and preference we use personalized search based on user preference stored as an XML. The problem in personalized search is in identifying the correct preferences based on the search text. In this paper we have done a survey of papers related to XML search and personalization. From this survey we have come up with a proposed solution, to store the user preferences with keywords and sub preferences as an XML document and related text as keywords. To identify the user preferences based on the query the user preference XML is loaded. The user preference nodes related to the keyword is identified and ranked based ranking function of top k algorithm. The documents will now be listed based on keyword and also based on keyword and preference node combination. The relevance status value of the resulting documents will be identified in both the search and the final search result will be listed by considering the RSV value using the re-ranking strategies}, added-at = {2015-08-11T07:54:07.000+0200}, author = {Meenakshi, B. Kurinchi and Nalini, Dr. C.}, biburl = {https://www.bibsonomy.org/bibtex/269c2e99c3ee026257220f8ea001e6246/ijritcc}, doi = {10.17762/ijritcc2321-8169.150392}, interhash = {fe629255a80da896b2baa4be7242b918}, intrahash = {69c2e99c3ee026257220f8ea001e6246}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Personalization Ranking Re Relevance Status Value XML algorithm k ranking top}, month = {march}, number = 3, pages = {1320--1322}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-11T07:54:07.000+0200}, title = {Survey on Managing {XML} Search through Personalization}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150392}, volume = 3, year = 2015 }