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      News Selection with Topic Modeling

      Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013) (FDIA)

      Future Directions in Information Access (FDIA 2013)

      3 September 2013

      News aggregators, news recommendation, news selection, topic modeling

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          Abstract

          There are numerous news articles coming to news aggregators and important news are selected to be presented on the front-page. There are two types of news selection for the front-page of news aggregators: personalized and public news recommendation (selection). This study examines public news recommendation that aims to satisfy all users’ interest on the front-page. Public news recommendation is mainly done by meta-features like news popularity. A different approach that exploits the news content is introduced in this work. The main target is to select important (significant) news articles while providing diversification in the selected news topics. A new approach based on topic modeling is developed for this purpose. Results show that it is hard to achieve satisfactory level of precision when content-based public news recommendation is applied. However, precision of topic modeling-based approach is noticeably better than precision of random news recommendation. Topics of selected news are also diversified by using topic modeling.

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          Most cited references 4

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          Probabilistic topic decomposition of an eighteenth-century American newspaper

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            Analyzing Entities and Topics in News Articles Using Statistical Topic Models

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              • Record: found
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              A Hybrid User Model for News Story Classification

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                Author and article information

                Contributors
                Conference
                September 2013
                September 2013
                : 32-37
                Affiliations
                Bilkent Information Retrieval Group

                Computer Engineering Department

                Bilkent University, Ankara, Turkey
                Article
                10.14236/ewic/FDIA2013.7
                © Cagri Toraman. Published by BCS Learning and Development Ltd. Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013), Granada, Spain

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013)
                FDIA
                5
                Granada, Spain
                3 September 2013
                Electronic Workshops in Computing (eWiC)
                Future Directions in Information Access (FDIA 2013)
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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