Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
  • Zhang C, Suxun W, Yu W, Zhao P, Chen Y, Gu J, Ren Z and Liu J. (2024). Identification of missing higher-order interactions in complex networks. Journal of Complex Networks. 10.1093/comnet/cnae031. 12:4. Online publication date: 24-Jun-2024.

    https://academic.oup.com/comnet/article/doi/10.1093/comnet/cnae031/7731444

  • Garba A, Wu S and Khalid S. (2023). Federated search techniques: an overview of the trends and state of the art. Knowledge and Information Systems. 65:12. (5065-5095). Online publication date: 1-Dec-2023.

    https://doi.org/10.1007/s10115-023-01922-6

  • Singh A and Lakshmanan K. (2021). PILHNB: Popularity, interests, location used hidden Naive Bayesian-based model for link prediction in dynamic social networks. Neurocomputing. 10.1016/j.neucom.2021.02.101. Online publication date: 1-Jun-2021.

    https://linkinghub.elsevier.com/retrieve/pii/S0925231221009620

  • Zarrinkalam F, Piao G, Faralli S and Bagheri E. Mining User Interests from Social Media. Proceedings of the 29th ACM International Conference on Information & Knowledge Management. (3519-3520).

    https://doi.org/10.1145/3340531.3412167

  • Zhao W, Hou Y, Chen J, Zhu J, Yin E, Su H and Wen J. (2020). Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. ACM Transactions on Information Systems. 38:2. (1-30). Online publication date: 18-Mar-2020.

    https://doi.org/10.1145/3377550

  • Wu J, Huang L and Zhao J. (2019). Operationalizing regulatory focus in the digital age. MIS Quarterly. 43:3. (745-764). Online publication date: 1-Sep-2019.

    https://doi.org/10.25300/MISQ/2019/14420

  • Zarrinkalam F, Fani H and Bagheri E. Social User Interest Mining. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. (3235-3236).

    https://doi.org/10.1145/3292500.3332279

  • Zarrinkalam F, Fani H and Bagheri E. Extracting, Mining and Predicting Users' Interests from Social Networks. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. (1407-1408).

    https://doi.org/10.1145/3331184.3331383

  • Luo X, Jiang C, Wang W, Xu Y, Wang J and Zhao W. (2019). User behavior prediction in social networks using weighted extreme learning machine with distribution optimization. Future Generation Computer Systems. 93:C. (1023-1035). Online publication date: 1-Apr-2019.

    https://doi.org/10.1016/j.future.2018.04.085

  • Wang H, Wu J, Hu W and Wu X. (2019). Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks. ACM Transactions on Knowledge Discovery from Data. 13:1. (1-24). Online publication date: 29-Jan-2019.

    https://doi.org/10.1145/3299886

  • Zahra K, Azam F, Butt W and Ilyas F. (2019). User Identification on Social Networks Through Text Mining Techniques: A Systematic Literature Review. Information Science and Applications 2018. 10.1007/978-981-13-1056-0_49. (485-498).

    http://link.springer.com/10.1007/978-981-13-1056-0_49

  • Yang C, Chen X, Liu L, Liu T and Geng S. A Hybrid Movie Recommendation Method Based on Social Similarity and Item Attributes. Advances in Swarm Intelligence. (275-285).

    https://doi.org/10.1007/978-3-319-93818-9_26

  • Xiao Y, Li X, Wang H, Xu M and Liu Y. 3-HBP: A Three-Level Hidden Bayesian Link Prediction Model in Social Networks. IEEE Transactions on Computational Social Systems. 10.1109/TCSS.2018.2812721. 5:2. (430-443).

    https://ieeexplore.ieee.org/document/8320315/

  • Liang S, Ren Z, Zhao Y, Ma J, Yilmaz E and Rijke M. (2017). Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. ACM Transactions on Information Systems. 36:1. (1-37). Online publication date: 31-Jan-2018.

    https://doi.org/10.1145/3072606

  • (2018). A tag-based recommender system framework for social bookmarking websites. International Journal of Web Based Communities. 14:3. (303-322). Online publication date: 1-Jan-2018.

    /doi/10.5555/3282769.3282775

  • Wei S, Zheng X, Chen D and Chen C. (2016). A hybrid approach for movie recommendation via tags and ratings. Electronic Commerce Research and Applications. 18:C. (83-94). Online publication date: 1-Jul-2016.

    https://doi.org/10.1016/j.elerap.2016.01.003

  • Saoud Z and Kechid S. (2016). Integrating social profile to improve the source selection and the result merging process in distributed information retrieval. Information Sciences: an International Journal. 336:C. (115-128). Online publication date: 1-Apr-2016.

    https://doi.org/10.1016/j.ins.2015.12.012

  • Yunfang C, Tongli W and Wei Z. (2016). Social Link Prediction Based on the Users’ Information Transfer. Web Technologies and Applications. 10.1007/978-3-319-45835-9_6. (64-76).

    http://link.springer.com/10.1007/978-3-319-45835-9_6

  • Liu F, Liu B, Sun C, Liu M and Wang X. Improving Link Prediction in Social Networks by User Comments and Sentiment Lexicon. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. (356-365).

    https://doi.org/10.1007/978-3-319-25816-4_29

  • Zhang W, Ren H, Jiang Q and Zhang K. Exploring Feature Extraction and ELM in Malware Detection for Android Devices. Advances in Neural Networks – ISNN 2015. (489-498).

    https://doi.org/10.1007/978-3-319-25393-0_54

  • Qiao M, Ma Y, Bian Y and Liu J. Real-Time Multi-Application Network Traffic Identification Based on Machine Learning. Advances in Neural Networks – ISNN 2015. (473-480).

    https://doi.org/10.1007/978-3-319-25393-0_52

  • Wang J, Zhou Y, Yin M, Chen S and Edwards B. Representing Data by Sparse Combination of Contextual Data Points for Classification. Advances in Neural Networks – ISNN 2015. (373-381).

    https://doi.org/10.1007/978-3-319-25393-0_41

  • Sun Z, Li F, Zhao Y and Song L. Large Scale Text Clustering Method Study Based on MapReduce. Advances in Neural Networks – ISNN 2015. (365-372).

    https://doi.org/10.1007/978-3-319-25393-0_40

  • Jia S, Liu H and Sun F. Aerial Scene Classification with Convolutional Neural Networks. Advances in Neural Networks – ISNN 2015. (258-265).

    https://doi.org/10.1007/978-3-319-25393-0_29

  • Wang D, Liu Z and Cong F. Wood Surface Quality Detection and Classification Using Gray Level and Texture Features. Advances in Neural Networks – ISNN 2015. (248-257).

    https://doi.org/10.1007/978-3-319-25393-0_28

  • Wang J, Zhou Y, Wang H, Yang X, Yang F and Peterson A. Image Tag Completion by Local Learning. Advances in Neural Networks – ISNN 2015. (232-239).

    https://doi.org/10.1007/978-3-319-25393-0_26

  • Liu F, Liu B, Sun C, Liu M and Wang X. Multimodal Learning Based Approaches for Link Prediction in Social Networks. Natural Language Processing and Chinese Computing. (123-133).

    https://doi.org/10.1007/978-3-319-25207-0_11

  • Saoud Z and Kechid S. (2015). PERSONALIZED Source Selection Process: A Social Profile Adaptation Technique. Intelligent Data Analysis and Applications. 10.1007/978-3-319-21206-7_18. (203-213).

    https://link.springer.com/10.1007/978-3-319-21206-7_18

  • Wei S, Xiao L, Zheng X and Chen D. A Hybrid Movie Recommendation Approach via Social Tags. Proceedings of the 2014 IEEE 11th International Conference on e-Business Engineering. (280-285).

    https://doi.org/10.1109/ICEBE.2014.55