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ACM Transactions on Knowledge Discovery from Data
1-10 of 37 reviews
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 conceptually...
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 categories of words used in senten...
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 competitive?...
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 recommendation. By enabl...
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 authors examine...
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 demonstrated on thre...
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 rumors in o...
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 network nodes to e...
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 appendix containing p...
Jun 15 2018
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