Sciweavers

Share
ECIS
2000

Information Filtering and Automatic Keyword Identification by Artificial Neural Networks

11 years 6 months ago
Information Filtering and Automatic Keyword Identification by Artificial Neural Networks
Information filtering (IF) systems usually filter data items by correlating a vector of terms (keywords) that represent the user profile with similar vectors of terms that represent the data items (e.g. documents). The terms that represent the data items can be determined by (human) experts (e.g. authors of documents) or by automatic indexing methods. In this study we employ an artificial neural-network (ANN) as an alternative method for both filtering and term selection, and compare its effectiveness to "traditional" methods. In an earlier study we developed and examined the performance of an IF system that employed content-based and stereotypic rule-based filtering methods, in the domain of e-mail messages. In this study we train a large-scale ANN-based filter which uses meaningful terms in the same database of email messages as input, and use it to predict the relevancy of those messages. Results of the study reveal that the ANN prediction of relevancy is very good, compa...
Zvi Boger, Tsvi Kuflik, Bracha Shapira, Peretz Sho
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where ECIS
Authors Zvi Boger, Tsvi Kuflik, Bracha Shapira, Peretz Shoval
Comments (0)
books