Garcia Jiménez, A.; Díaz Esteban, A.; Gervás, P.: Knowledge organization in a multilingual system for the personalization of digital news services : how to integrate knowledge (2003)
0.01
0.014126732 = product of:
0.042380195 = sum of:
0.042380195 = weight(_text_:electronic in 2748) [ClassicSimilarity], result of:
0.042380195 = score(doc=2748,freq=2.0), product of:
0.19623034 = queryWeight, product of:
3.9095051 = idf(docFreq=2409, maxDocs=44218)
0.05019314 = queryNorm
0.21597168 = fieldWeight in 2748, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9095051 = idf(docFreq=2409, maxDocs=44218)
0.0390625 = fieldNorm(doc=2748)
0.33333334 = coord(1/3)
- Abstract
- In this paper we are concerned with the type of services that send periodic news selections to subscribers of a digital newspaper by means of electronic mail. The aims are to study the influence of categorisation in information retrieval and in digital newspapers, different models to solve problems of bilingualism in digital information services and to analyse the evaluation in information filtering and personalisation in information agents. Hermes is a multilingual system for the personalisation of news services which allows integration and categorisation of information in two languages. In order to customise information for each user, Hermes provides the means for representing a user interests homogeneously across the operating languages of the system. A simple system is applied to train automatically a dynamic news item classifier for both languages, by taking the Yahoo set of categories as reference framework and using the web pages classified under them as training collection. Traditional evaluation methods have been applied and their shortcomings for the present endeavour have been noted.
