Academic literature on the topic 'Personalized summarization'
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Journal articles on the topic "Personalized summarization"
Díaz, Alberto, and Pablo Gervás. "User-model based personalized summarization." Information Processing & Management 43, no. 6 (November 2007): 1715–34. http://dx.doi.org/10.1016/j.ipm.2007.01.009.
Full textChen, Fan, Christophe De Vleeschouwer, and Andrea Cavallaro. "Resource Allocation for Personalized Video Summarization." IEEE Transactions on Multimedia 16, no. 2 (February 2014): 455–69. http://dx.doi.org/10.1109/tmm.2013.2291967.
Full textLi, Junjie, Haoran Li, and Chengqing Zong. "Towards Personalized Review Summarization via User-Aware Sequence Network." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6690–97. http://dx.doi.org/10.1609/aaai.v33i01.33016690.
Full textWU, XINDONG, FEI XIE, GONGQING WU, and WEI DING. "PNFS: PERSONALIZED WEB NEWS FILTERING AND SUMMARIZATION." International Journal on Artificial Intelligence Tools 22, no. 05 (October 2013): 1360007. http://dx.doi.org/10.1142/s0218213013600075.
Full textUl Haq, Ijaz, Amin Ullah, Khan Muhammad, Mi Young Lee, and Sung Wook Baik. "Personalized Movie Summarization Using Deep CNN-Assisted Facial Expression Recognition." Complexity 2019 (May 5, 2019): 1–10. http://dx.doi.org/10.1155/2019/3581419.
Full textZhang, Yujia, Michael Kampffmeyer, Xiaoguang Zhao, and Min Tan. "Deep Reinforcement Learning for Query-Conditioned Video Summarization." Applied Sciences 9, no. 4 (February 21, 2019): 750. http://dx.doi.org/10.3390/app9040750.
Full textCHEN, Sinan, and Masahide NAKAMURA. "Generating Personalized Dialogues Based on Conversation Log Summarization." Proceedings of Design & Systems Conference 2021.31 (2021): 3407. http://dx.doi.org/10.1299/jsmedsd.2021.31.3407.
Full textLi, Jianxin, Chengfei Liu, Jeffrey Xu Yu, Yi Chen, Timos Sellis, and J. Shane Culpepper. "Personalized Influential Topic Search via Social Network Summarization." IEEE Transactions on Knowledge and Data Engineering 28, no. 7 (July 1, 2016): 1820–34. http://dx.doi.org/10.1109/tkde.2016.2542804.
Full textLiang, Chao, Changsheng Xu, and Hanqing Lu. "Personalized Sports Video Customization Using Content and Context Analysis." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–20. http://dx.doi.org/10.1155/2010/836357.
Full textChen, Yu-Hsiu, Pin-Yu Chen, Hong-Han Shuai, and Wen-Chih Peng. "TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7538–45. http://dx.doi.org/10.1609/aaai.v34i05.6252.
Full textDissertations / Theses on the topic "Personalized summarization"
El, Aouad Sara. "Personalized, Aspect-based Summarization of Movie Reviews." Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS019.pdf.
Full textOnline reviewing websites help users decide what to buy or places to go. These platforms allow users to express their opinions using numerical ratings as well as textual comments. The numerical ratings give a coarse idea of the service. On the other hand, textual comments give full details which is tedious for users to read. In this dissertation, we develop novel methods and algorithms to generate personalized, aspect-based summaries of movie reviews for a given user. The first problem we tackle is extracting a set of related words to an aspect from movie reviews. Our evaluation shows that our method is able to extract even unpopular terms that represent an aspect, such as compound terms or abbreviations, as opposed to the methods from the related work. We then study the problem of annotating sentences with aspects, and propose a new method that annotates sentences based on a similarity between the aspect signature and the terms in the sentence. The third problem we tackle is the generation of personalized, aspect-based summaries. We propose an optimization algorithm to maximize the coverage of the aspects the user is interested in and the representativeness of sentences in the summary subject to a length and similarity constraints. Finally, we perform three user studies that show that the approach we propose outperforms the state of art method for generating summaries
Book chapters on the topic "Personalized summarization"
Agnihotri, Lalitha, and Nevenka Dimitrova. "Personalized Multimedia Summarization." In Philips Research, 89–111. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-017-0703-9_5.
Full textDharan, Nidhin S., and R. Gowtham. "Personalized Abstract Review Summarization Using Personalized Key Information-Guided Network." In Inventive Computation and Information Technologies, 203–16. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6723-7_15.
Full textPark, Sun. "Personalized Summarization Agent Using Non-negative Matrix Factorization." In PRICAI 2008: Trends in Artificial Intelligence, 1034–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89197-0_103.
Full textPanagiotakis, Costas, Harris Papadakis, and Paraskevi Fragopoulou. "Personalized Video Summarization Based Exclusively on User Preferences." In Lecture Notes in Computer Science, 305–11. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45442-5_38.
Full textXu, Hongyan, Hongtao Liu, Wenjun Wang, and Pengfei Jiao. "Neural Adversarial Review Summarization with Hierarchical Personalized Attention." In Database Systems for Advanced Applications, 53–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73197-7_4.
Full textLi, Yinghui, and Hengbin Yan. "Summarization Exercises and Interpreting Performance in Blended Interpreting Training." In Blended Learning: Educational Innovation for Personalized Learning, 117–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21562-0_10.
Full textChen, Fan, and Christophe De Vleeschouwer. "Personalized Summarization of Broadcasted Soccer Videos with Adaptive Fast-Forwarding." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1–11. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03892-6_1.
Full textDíaz, Alberto, Pablo Gervás, and Antonio García. "Evaluation of a System for Personalized Summarization of Web Contents." In User Modeling 2005, 453–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527886_63.
Full textZhang, Lu, Liangjun Zang, Longtao Huang, Jizhong Han, and Songlin Hu. "An Interactivity-Based Personalized Mutual Reinforcement Model for Microblog Topic Summarization." In Lecture Notes in Computer Science, 518–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97304-3_40.
Full textPark, Sun. "Personalized Document Summarization Using Non-negative Semantic Feature and Non-negative Semantic Variable." In Lecture Notes in Computer Science, 298–305. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88906-9_38.
Full textConference papers on the topic "Personalized summarization"
Agnihotri, Lalitha, John Kender, Nevenka Dimitrova, and John Zimmerman. "Framework for personalized multimedia summarization." In the 7th ACM SIGMM international workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1101826.1101841.
Full textDarabi, Kaveh, and Gheorghita Ghinea. "Personalized video summarization using sift." In SAC 2015: Symposium on Applied Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2695664.2695750.
Full textRen, Zhaochun, Shangsong Liang, Edgar Meij, and Maarten de Rijke. "Personalized time-aware tweets summarization." In SIGIR '13: The 36th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2484028.2484052.
Full textLiu, Yong, Xiaolei Wang, Jin Zhang, and Hongbo Xu. "Personalized PageRank Based Multi-document Summarization." In 2008 IEEE International Workshop on Semantic Computing and Systems (WSCS). IEEE, 2008. http://dx.doi.org/10.1109/wscs.2008.32.
Full textDong, Yi, Chang Liu, Zhiqi Shen, Yu Han, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, and Xuansong Xie. "Personalized Video Summarization with Idiom Adaptation." In MM '19: The 27th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3343031.3350584.
Full textXiao-Peng Yang and Xiao-Rong Liu. "Personalized multi-document summarization in information retrieval." In 2008 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2008. http://dx.doi.org/10.1109/icmlc.2008.4621121.
Full textYi, Kun, Yu Guo, Zhi Wang, Lifeng Sun, and Wenwu Zhu. "Personalized Text Summarization Based on Gaze Patterns." In 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2020. http://dx.doi.org/10.1109/mipr49039.2020.00070.
Full textDarabi, Kaveh, and Gheorghita Ghinea. "Personalized video summarization by highest quality frames." In 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, 2014. http://dx.doi.org/10.1109/icmew.2014.6890674.
Full textVarini, Patrizia, Giuseppe Serra, and Rita Cucchiara. "Personalized Egocentric Video Summarization for Cultural Experience." In ICMR '15: International Conference on Multimedia Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2671188.2749343.
Full textXu, Hongyan, Hongtao Liu, Pengfei Jiao, and Wenjun Wang. "Transformer Reasoning Network for Personalized Review Summarization." In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3404835.3462854.
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