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- W2883143452 abstract "Because of the rapid growth of all kinds of professional knowledge on the internet. There are three characteristics about the big data in the Internet: the amount of information is huge, the type of information is changing quickly, the requirements of people are diverse. How to help users discover hotspots knowledge to meet their personalized are becomes a challenging and hot issue. Thus, in this paper, we propose the evolving network combine with word2vec. To address this issue. first, we construct the evolving network and analyze the data relationships based on Wikipedia knowledge tree and software engineering open source community (e.g., Stack Overflow) in real time; second, the evolving network can merge similarity and synonym of hotspots terms by Word2vec. Finally, we can calculate the weight of each hotspots, the nodes with the greatest weight in each domain are recommend knowledge. We evaluated stability, recall rate, precision rate, and F-Measure through an experiment and the results showed that our method is more accurate than existing approaches." @default.
- W2883143452 created "2018-08-03" @default.
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- W2883143452 date "2018-01-01" @default.
- W2883143452 modified "2023-10-06" @default.
- W2883143452 title "A Recommend Method of Hotspots Knowledge Based on Big Data from Evolving Network" @default.
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- W2883143452 doi "https://doi.org/10.1007/978-981-13-1648-7_40" @default.
- W2883143452 hasPublicationYear "2018" @default.
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