Abstract
Academia and search engine industry followers consider personalization as the future of search engines, and this fact is well supported by the tremendous amount of research in this field. However the impact of technological advancement seems to be focused towards bringing more relevant results to the users - not the way it is usually presented to the users. User archives are useful resources which can be exploited more efficiently if reusability is promoted appropriately. In this paper, we present a theoretical framework which can sit on top of existing search technologies and deliver visually enhanced user experience and archival reusability. Contribution of this paper is two fold; first – visual interface for personal search engine setup, self-updating user interests, and session mapping based on modified spider graph; and secondly – enabling better archival reusability through user archival maps, session maps, interest specific maps and visual bookmarking.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andrews, K., Gutl, C., Moser, J., Sabol, V.: Search result visualization with xFind. In: 2nd International Workshop on User Interfaces to Data Intensive Systems, IEEE Press, Zurich (2001)
Berenci, E., Carpineto, C., Giannini, V., Mizzaro, S.: Effectiveness of keyword-based display and selection of retrieval results for interactive searches. International Journal on Digital Libraries 3(3) (2000)
Paek, T., Dumais, S., Logan, R.: Wavelens: A new view onto internet search results. In: Proceedings of the ACM Conference on Human Factors in Computing Systems (2004)
Hoeber, O., Yang, X.D.: The visual exploration of web search results using HotMap. In: 10th International Conference on Information Visualization (2006)
Ferragina, P., Gulli, A.: Industrial and practical experience track paper session 1: A personalized search engine based on web-snippet hierarchical clustering. In: Special interest tracks and posters of the 14th international conference on World Wide Web WWW 2005, ACM, Chiba (2005)
Shen, X., Tan, B., Zhai, C.: Demos: UCAIR: a personalized search toolbar. In: 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 2005, ACM, Salvador (2005)
Sun, J., Zeng, H., Liu, H., Lu, Y., Zheng, C.: User-focused search and crawling: CubeSVD: a novel approach to personalized Web search. In: 14th International Conference on World Wide Web WWW 2005, ACM, Chiba (2005)
Thorsten, J.: Web search and navigation: Optimizing search engines using clickthrough data. In: 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD 2002, ACM, Alberta (2002)
Wiza, W., Walczak, K., Cellary, W.: Visualization: Periscope: a system for adaptive 3D visualization of search results. In: 9th International Conference on 3D Web technology Web3D 2004, ACM, California (2004)
Dalal, M.: Social networks: Personalized social & real-time collaborative search. In: 16th international conference on World Wide Web WWW 2007, ACM, Alberta (2007)
Choicestream personalization solutions, http://www.choicestream.com/
Rogers, B.: The Spider Chart: A Unique Tool for Performance Appraisal. Series: Annual Quality Congress 49, 16–22 (1995)
Arasu, A., Cho, J., Garcia-Molina, H., Paepcke, A., Raghavan, S.: Searching the Web. ACM Transactions on Internet Technology (TOIT) 1(1) (2001)
Notess, G.: Searching the World-Wide Web: Lycos, WebCrawler and more. Online Inc. Online 19(4) (1995)
Page, L., Brin, S., Motwani, R., Winograd, T.: The Pagerank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project (1998)
Ma, Z., Pant, G., Olivia, R., Sheng, L.: Interest-based personalized search. ACM Transactions on Information Systems (TOIS) 25(1) Article 5 (2007)
Qiu, F., Cho, J.: Improved search ranking: Automatic identification of user interest for personalized search. In: 15th international conference on World Wide Web WWW 2006, ACM, Edinburgh (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baishya, D.J. (2007). Enhanced Visual Experience and Archival Reusability in Personalized Search Based on Modified Spider Graph. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76856-2_71
Download citation
DOI: https://doi.org/10.1007/978-3-540-76856-2_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76855-5
Online ISBN: 978-3-540-76856-2
eBook Packages: Computer ScienceComputer Science (R0)