ABSTRACT
The ubiquitous nature of the Web has rendered a vast amount of information accessible on demand transforming itself to be the primary hub of personal and collective knowledge. Consequently it is becoming more challenging to manage such information effectively as we face the era of information overload, a.k.a. infobesity. The most popular way of managing web pages is bookmarking. Bookmarks, however, would serve little purpose if they cannot be easily organized or found for re-use. In this paper, we discuss the pros and cons of current folder and tag-based tools and highlight the role user context plays in information retrieval. Then we propose "MemoryLane", a bookmarking tool that offers context-specific tags to help organize and allows navigation of bookmarks by any context users remember.
- Aula, A., Jhaveri, N., and Kaki, M. 2005. Information Search and Re-access Strategies of Experienced Web Users. In Proc. of the 14th Int'l Conf. World Wide Web (Chiba, Japan, May 10-14, 2005). WWW '05. ACM, New York, NY, 583--592. Google ScholarDigital Library
- Bischoff, K., S. Firan, C., Nejdl, W. and Raluca, P. 2008. Can All Tags used for Search? In Proceedings of the 17th ACM Conference on Information and Knowledge management (Napa Valley, California, USA, Oct. 26--30, 2008). CIKM '08. ACM, New York, NY, 193--202. Google ScholarDigital Library
- Civan A., Jones, W., Klasnja, P, and Bruce H. 2008. Better to organize personal information by folders or by tags?: The devil is in the details. Proc.Am.Soc.Info.Sci.Tech., 45: 1--13.Google ScholarCross Ref
- Deng, T., Zhao, L., Wang, H., Liu Q. and Feng, L. 2012. ReFinder: A Context-Based Information Refinding System. IEEE Transactions on Knowledge and Data Engineering. 25--9: 2119--2132 (September 2013). Google ScholarDigital Library
- Halipern, J., Jitkoff, N., Warr, A., Karahalios, K., Sesek, R. and Shkrob, N. 2011. YouPivot: improving recall with contextual search. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, New York, NY, USA, 1521--1530. Google ScholarDigital Library
- Kawase, R., Papadakis, G., Herder, E., and Nejdl, W. 2010. The impact of bookmarks and annotations on refinding information. In Proc. of the 21st ACM conf. on Hypertext and hypermedia (HT '10). ACM, New York, NY, USA, 29--34. Google ScholarDigital Library
- Ma, S. and Wiedenbeck, S. 2009. File management with hierarchical folders and tags. In CHI '09 Extended Abstracts on Human Factors in Computing Systems (CHI EA '09). ACM, New York, NY, USA, 3745--3750. Google ScholarDigital Library
- Marshall, M. 2015. AQA Psychology Student Guide 1. Hodder Education, Hachette UK, Oxfordshire, UK.Google Scholar
- Smith, S. M. 1994. Theoretical principles of context-dependent memory. In: Gruneberg M. M., Morris, P. E. (eds.) Theoretical Aspects of Memory, pp. 168. Routledge, London (1994).Google Scholar
- Trattner, C., Koener, C., Helic, D. 2011. Enhancing the navigability of social tagging systems with tag taxonomies. In Proc. of i-KNOW '11, Stefanie Lindstaedt and Michael Granitzer (Eds.). ACM, New York, NY, USA, Article 18 Google ScholarDigital Library
Index Terms
- Contextualizing bookmarks: an approach based on user context to improve organization and retrieval of bookmarks
Recommendations
Topic specific association rules mining from social bookmarks
FDIA'07: Proceedings of the 1st BCS IRSG conference on Future Directions in Information AccessIn recent years social bookmarking systems have become one of the most popular application on the Internet enabling users to label some content. The user's perspective of this content is expressed with some words (tags). The main goal of this paper is ...
Tag recommendation for social bookmarking: Probabilistic approaches
Principles and Practice of Multi-Agent SystemsTagging has become increasingly popular with the explosion of user-created content on the web. A 'tag' can be defined as a group of keywords that makes organizing, browsing and searching for content more efficient. Users apply tags to a variety of web-...
Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering
Automatic clustering of Web pages helps a number of information retrieval tasks, such as improving user interfaces, collection clustering, introducing diversity in search results, etc. Typically, Web page clustering algorithms use only features ...
Comments