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	ACM Transactions on Knowledge Discovery from Data ACM Press         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 37 reviews Date Reviewed     Attention models in graphs: a survey Lee J., Rossi R., Kim S., Ahmed N., Koh E. ACM Transactions on Knowledge Discovery from Data 13(6): 1-25, 2019.  Type: Article Having spent some time on early attempts to bring together neural networks and symbol-oriented knowledge representation, I am intrigued by the more recent work on deep learning and knowledge graphs. While many of the approaches appear ... Sep 20 2021   Aspect aware learning for aspect category sentiment analysis Zhu P., Chen Z., Zheng H., Qian T. ACM Transactions on Knowledge Discovery from Data 13(6): 1-21, 2019.  Type: Article Do you like (or dislike) “fruit flies like a banana,” but not “time flies like an arrow”? How should humans and computerized systems accurately distinguish between predefined and undefined catego... Apr 6 2021   A unified framework with multi-source data for predicting passenger demands of ride services Wang Y., Lin X., Wei H., Wo T., Huang Z., Zhang Y., Xu J. ACM Transactions on Knowledge Discovery from Data 13(6): 1-24, 2019.  Type: Article Ride-sharing service customers look for and deserve fair fares. However, with the use of the Internet to access competing fares when booking shared rides, how should ride-sharing providers forecast passenger demands in order to remain ... Sep 15 2020   Interactive recommendation with user-specific deep reinforcement learning Lei Y., Li W. ACM Transactions on Knowledge Discovery from Data 13(6): 1-15, 2019.  Type: Article Recommender systems are widely used, especially by online applications with a view to enhancing user experience. In most conventional systems, past history of a user’s implicit online behavior is used to derive a new recommen... Mar 2 2020   The relationship between online social network ties and user attributes Mahmoudi A., Yaakub M., Bakar A. ACM Transactions on Knowledge Discovery from Data 13(3): 1-15, 2019.  Type: Article Effective social promotion networks require reliable algorithms for discovering events and targeting their locations to online users. But what are the underlying factors that affect ties among online social network (OSN) users? The aut... Jan 31 2020   Tensorizing restricted Boltzmann machine Ju F., Sun Y., Gao J., Antolovich M., Dong J., Yin B. ACM Transactions on Knowledge Discovery from Data 13(3): 1-16, 2019.  Type: Article The paper proposes a tensorized variation on restricted Boltzmann machines (RBMs) to reduce the number of model parameters and significantly decrease training time, while still obtaining comparable performance. The approach is demonstr... Sep 16 2019   Information diffusion prediction with network regularized role-based user representation learning Wang Z., Chen C., Li W. ACM Transactions on Knowledge Discovery from Data 13(3): 1-23, 2019.  Type: Article Wang et al. propose and evaluate the network regularized diffusion representation (NRDR) learning model to tackle the issue of information diffusion prediction. The results show that NRDR works better than other state-of-the-art models... Sep 12 2019   Rumor blocking through online link deletion on social networks Yan R., Li Y., Wu W., Li D., Wang Y. ACM Transactions on Knowledge Discovery from Data 13(2): 1-26, 2019.  Type: Article Today, people often depend on social networking services to get information. It is often observed that rumors spread quickly over social networks, owing to personal relationships. Social networking service managers must block malicious... Aug 21 2019   Cross-dependency inference in multi-layered networks: a collaborative filtering perspective Chen C., Tong H., Xie L., Ying L., He Q. ACM Transactions on Knowledge Discovery from Data 11(4): 1-26, 2017.  Type: Article Current and emerging networks have a duty to promote interconnections for new collaborative research and business between academia and industry. Multi-layered networks require descriptions of relations among nodes from different networ... Feb 11 2019   Profit maximization with sufficient customer satisfactions Long C., Wong R., Wei V. ACM Transactions on Knowledge Discovery from Data 12(2): 1-34, 2018.  Type: Article This paper focuses on the prospects of “profit maximization with sufficient customer satisfaction.” The authors present 11 lemmas, nine examples, six definitions, two challenges, two theorems and one algorithm, an a... Jun 15 2018       Display 510152550100 per column
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