Using latent semantic indexing for information filtering
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
Improving text retrieval for the routing problem using latent semantic indexing
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Hi-index | 0.00 |
The paper describes the architecture of a corporate information and news engine, providing an effective bass for analysis, selection, navigation, and presentation of large sets of dynamic corporate contents. We show that common text processing techniques, when combined in an appropriate way, can handle a variety of sources, including: e-mails, structured and unstructured documents from internal Web sites, files shared over the LAN, etc. The major factors the system takes into account in order to offer a fully automated data gathering and personalized presentation include: document recency, sender's authority, closeness to a pre-selected topic and the user's interests.