Personalised and domain specific user interface for a search engine

Search engines retrieve relevant information when users know exactly what they are looking for. The search is usually guided by relevant keywords provided by the user. But the key words provided might belong to different domains and the search may end up giving results on domains where the users are not interested on. This paper proposes a novel information retrieval prototype by providing a personalized search interface. The interface is based on specific domain chosen by the user. The effectiveness of the search is brought by fragmenting the search criterion into different parameters or the features of that domain. The user is assisted to enter only domain specific keywords. This helps to retrieve only the relevant information belonging to the chosen domain. The user is also given the choice to select more than one search criteria to refine the search.

[1]  Clement T. Yu,et al.  Personalized Web search for improving retrieval effectiveness , 2004, IEEE Transactions on Knowledge and Data Engineering.

[2]  Georgia Koutrika,et al.  Personalized queries under a generalized preference model , 2005, 21st International Conference on Data Engineering (ICDE'05).

[3]  Xinjian Gu,et al.  Context-Based Adaptive Personalized Web Search for Improving Information Retrieval Effectiveness , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[4]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[5]  Margaret H. Dunham,et al.  Data Mining: Introductory and Advanced Topics , 2002 .

[6]  Pabitra Mitra,et al.  Personalized Web Search Using Probabilistic Query Expansion , 2007, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

[7]  Fei Xie,et al.  Web search with personalization and knowledge , 2002, Fourth International Symposium on Multimedia Software Engineering, 2002. Proceedings..

[8]  Elizabeth Van Couvering,et al.  Is Relevance Relevant? Market, Science, and War: Discourses of Search Engine Quality , 2007, J. Comput. Mediat. Commun..

[9]  Orland Hoeber ExploringWeb Search Results by Visually Specifying Utility Functions , 2007 .

[10]  Indra Seher A personalized query expansion approach using context , 2007 .

[11]  Pawan Kumar,et al.  Notice of Violation of IEEE Publication Principles The Anatomy of a Large-Scale Hyper Textual Web Search Engine , 2009 .

[12]  Ying Luo,et al.  Personalized Web Search Using User Profile , 2007, 2007 International Conference on Computational Intelligence and Security (CIS 2007).

[13]  Hany M. Harb,et al.  Personal search engine based on user interests and modified page rank , 2009, 2009 International Conference on Computer Engineering & Systems.