A Syndicated Adaptive News-Feed: The Energy Hub

PROCEEDINGS OF THE AUSTRALASIAN COMPUTER SCIENCE WEEK MULTICONFERENCE (ACSW 2020)(2020)

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Abstract
Adaptive User Interfaces (AUI) change their presentation and content depending on the individual needs of their client. In our work, we aim to create a AUI that collects articles on "energy-related" issues from various publishers using Google's Custom Search and NEWS API. We call this AUI news-feed service "The Energy Hub". We have compared the articles that result from a search from generic search engines with that of "Energy Hub". The latter shows more promising results with better precision. In future work, we aim to provide all thematically related articles to the reader, customised by user preferences and by their interactions with the AUI. The intention is to improve the reader's experience using text mining and search-term clustering, including topic modelling. An important aspect of our work is the judgement of the success of the Energy-hub AUI, and we identify a methodology for its evaluation.
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Key words
Adaptable user interface, news recommender system, topic modelling, text mining
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