The traditional search engine have shortcoming that they retrieve irrelevant information. Query expansion
with relevant words increases the performance of search engines, but finding and using the relevant words
is an open problem. This paper presents a Hindi search engine in which we describe three models for
query enhancement. They are based on lexical variance, user context and combination of both techniques.
%0 Journal Article
%1 journals/bioinformatics/OrtellsCL93
%A Vasnik, Nandkishor
%A Sahu, Shriya
%A Roy, Devshri
%D 2012
%J International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
%K HindiWordNet Information context enhancement lexical query resources retrieval
%N 03
%P 71-79
%R 10.5121/ijcseit.2012.2305
%T TALASH: A SEMANTIC AND CONTEXT BASED
OPTIMIZED HINDI SEARCH ENGINE
%U http://airccse.org/journal/ijcseit/papers/2312ijcseit05.pdf
%V 02
%X The traditional search engine have shortcoming that they retrieve irrelevant information. Query expansion
with relevant words increases the performance of search engines, but finding and using the relevant words
is an open problem. This paper presents a Hindi search engine in which we describe three models for
query enhancement. They are based on lexical variance, user context and combination of both techniques.
@article{journals/bioinformatics/OrtellsCL93,
abstract = {The traditional search engine have shortcoming that they retrieve irrelevant information. Query expansion
with relevant words increases the performance of search engines, but finding and using the relevant words
is an open problem. This paper presents a Hindi search engine in which we describe three models for
query enhancement. They are based on lexical variance, user context and combination of both techniques.
},
added-at = {2018-05-30T11:18:44.000+0200},
author = {Vasnik, Nandkishor and Sahu, Shriya and Roy, Devshri},
biburl = {https://www.bibsonomy.org/bibtex/2b63b6d7202948b8106f145763b640f97/ijcseit},
doi = {10.5121/ijcseit.2012.2305},
ee = {http://dx.doi.org/10.1093/bioinformatics/9.6.741},
interhash = {d979f12a870afb2ee32d9cfda8a8c7d9},
intrahash = {b63b6d7202948b8106f145763b640f97},
issn = {2231-3117 [Online] ; 2231-3605 [Print]},
journal = {International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)},
keywords = {HindiWordNet Information context enhancement lexical query resources retrieval},
language = {English},
month = jun,
number = 03,
pages = {71-79},
timestamp = {2018-05-30T11:18:44.000+0200},
title = {TALASH: A SEMANTIC AND CONTEXT BASED
OPTIMIZED HINDI SEARCH ENGINE},
url = {http://airccse.org/journal/ijcseit/papers/2312ijcseit05.pdf},
volume = 02,
year = 2012
}