Relating RSS news/items

Tekli, J.; Chbeir, R.; Getahun, F.; Viviani, M.; Yetongnon, K.

Relating RSS news/items

Tekli, J.; Chbeir, R.; Getahun, F.; Viviani, M.; Yetongnon, K.

URL: https://www.scopus.com/record/display.uri?eid=2-s2.0-70350216067&doi=10.1007%2f978-3-642-02818-2_36&origin=inward&txGid=7A91CE2CBCDCD1BC954901D614005626.wsnAw8kcdt7IPYLO0V48gA%3a13

Date: 2017-07-04

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Abstract:

Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify relationships between RSS elements. Our approach is based on the concepts of semantic neighborhood and vector space model, and considers the content and structure of RSS news items. © 2009 Springer Berlin Heidelberg