DocumentCode :
2344033
Title :
Search Engine Results Improvement -- A Review
Author :
Agrawal, Hina ; Yadav, Sunita
Author_Institution :
Dept. of Comput. Sci. & Eng., Ajay Kumar Garg Eng. Coll., Ghaziabad, India
fYear :
2015
fDate :
13-14 Feb. 2015
Firstpage :
180
Lastpage :
185
Abstract :
Search engines return SERP which contains results to the user query which may be relevant or irrelevant. Some of the results which are not relevant are the matter of great dissatisfaction to the user who queried the Web to look forward for the desired answer. As the WWW is the huge repository of information so there is a necessity of an intuitive approach that can navigate, filter, summarize and manage such a large collection of data. Hence, diverse approaches have been used to optimize search engine results according to users´ need. Our objective is to present different approaches used by various researchers to optimize results which are helpful in maximizing the user satisfaction.
Keywords :
Internet; query processing; search engines; SERP; WWW; Web; search engine results improvement; user need; user query; user satisfaction; Clustering algorithms; Engines; Google; History; Search engines; Semantics; Vectors; Document Clustering; Information Retrieval; Search Engine; Semantic; Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4799-6022-4
Type :
conf
DOI :
10.1109/CICT.2015.94
Filename :
7078691
Link To Document :
بازگشت