Personalized Review Selection
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference17 articles.
1. Solving the 0/1 knapsack problem using an adaptive genetic algorithm;Ezziane;Artificial Intelligence for Engineering DesignAnalysis & Manufacturing,2002
2. He, R., Lee, W.S., Ng, H.T., Dahlmeier, D., 2017. An unsupervised neural attention model for aspect extraction, in: Proceedings of the 55thAnnual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 388–397.
3. Hu, M., Liu, B., 2004. Mining and summarizing customer reviews, 168–177.
4. Jin, Z., Ming, R., Xian, X., Zhang, J., 2017. Providing consumers with a representative subset from online reviews. Online Information Review41, 877–899.
5. Lappas, T., Crovella, M., Terzi, E., 2012. Selecting a characteristic set of reviews, in: Acm Sigkdd International Conference on KnowledgeDiscovery & Data Mining.
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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