Abstract
Business users in an enterprise need to keep track of relevant information available on the Web for strategic decisions like mergers and acquisitions. Traditionally this is done by the user performing standing queries or alert mechanisms based on topics. A much richer tracking can be done by providing a way for users to initiate and share topics in a single place. In this paper we present an alternative model and prototype for tracking topics of interest based on a continuous user collaboration.
Part of this work was performed while the authors were affiliated with SAP Research, 3410 Hillview Avenue, Palo Alto, CA 94304.
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
Allan, J.: Introduction to topic detection and tracking. pp. 1–16 (2002)
Alonso, O., James, F., Franke, C., Talbot, J., Xie, S., Klemba, K.: Sensemaking in the enterprise: A framework for retrieving, presenting, and providing feedback on information sources. SIGMOD Industrial Session (submitted, 2008)
Kautz, H., Selman, B., Shah, M.: Referral web: Combining social networks and collaborative filtering. Commun. ACM 40(3), 63–65 (1997)
Linden, G., Smith, B., York, J.: Amazon.com recommendations: Item-to-item collaborative filtering. Internet Computing, IEEE 7(1), 76–80 (2003)
Ramakrishnan, R., Tomkins, A.: Toward a peopleweb. IEEE Computer 40(8), 63–72 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Franke, C., Alonso, O. (2008). Collaborative Topic Tracking in an Enterprise Environment. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds) Advances in Information Retrieval. ECIR 2008. Lecture Notes in Computer Science, vol 4956. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78646-7_69
Download citation
DOI: https://doi.org/10.1007/978-3-540-78646-7_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78645-0
Online ISBN: 978-3-540-78646-7
eBook Packages: Computer ScienceComputer Science (R0)