Paper Info
Title
Personalization of Web Search Results Based on User Profiling.
Abstract
A system for re-ordering the search results to provide to the user results of more relevance to him with the help of his profile. This concept is called Personalization. These profiles can be created by collecting explicit data (which may be input directly by a user in the form of recommendation, comment or vote) and implicit data (based on the users browsing patterns). Data can be monitored locally at the client side or at the server level or some hybrid approach can be adopted. The open recommendation system facilitates the degree to which personalization of results is needed by the user. The system design also includes measures to maintain the privacy and security of the users by encrypting their profile information to counter the threats to the same. The system has been designed as an open ended one and leaves a scope for more ideas and designs to be incorporated some of which have been mentioned in the future works.
Year
DOI
Venue
2008
10.1109/ICETET.2008.28
Nagpur, Maharashtra
Keywords
Field
DocType
profile information,implicit data,user result,user profiling,client side,hybrid approach,open recommendation system,system design,explicit data,future work,search result,web search results,search engines,databases,adaptability,data privacy,internet,search engine,engines,context analysis,cryptography,recommender system,personalization,computer science,servers,security,scalability,filtering,data security,information security,privacy,collaborative filtering,voting
Recommender system,Client-side,Data security,World Wide Web,Collaborative filtering,Relevance feedback,Information retrieval,Computer science,Server,Information privacy,Personalization
Conference
ISBN
Citations 
PageRank 
978-0-7695-3267-7
2
0.41
References 
Authors
4
6
Name
Order
Citations
PageRank
Snigdha Gupta120.41
Saral Jain2271.87
Mohammad Kazi320.41
Bharat Deshpande4174.86
Mangesh Bedekar542.83
Komal Kapoor6854.60