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Towards personalized review summarization via user-aware sequence network

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Chengqing ZongAuthors Info & Claims

AAAI'19/IAAI'19/EAAI'19: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence

Article No.: 821, Pages 6690 - 6697

https://doi.org/10.1609/aaai.v33i01.33016690

Published: 27 January 2019 Publication History

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Abstract

We address personalized review summarization, which generates a condensed summary for a user's review, accounting for his preference on different aspects or his writing style. We propose a novel personalized review summarization model named User-aware Sequence Network (USN) to consider the aforementioned users' characteristics when generating summaries, which contains a user-aware encoder and a user-aware decoder. Specifically, the user-aware encoder adopts a user-based selective mechanism to select the important information of a review, and the user-aware decoder incorporates user characteristic and user-specific word-using habits into word prediction process to generate personalized summaries. To validate our model, we collected a new dataset Trip, comprising 536,255 reviews from 19,400 users. With quantitative and human evaluation, we show that USN achieves state-of-the-art performance on personalized review summarization.

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Cited By

Sun R(2024)AI-based Human-Centered Recommender Systems: Empirical Experiments and Research InfrastructureProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688012(1308-1313)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3640457.3688012
Xu HLiu HLv ZYang QWang WFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuningProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615056(2826-2835)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3615056
Li LZhang YChen L(2023)Personalized Prompt Learning for Explainable RecommendationACM Transactions on Information Systems10.1145/358048841:4(1-26)Online publication date: 23-Mar-2023
https://dl.acm.org/doi/10.1145/3580488
Show More Cited By

Index Terms

Towards personalized review summarization via user-aware sequence network
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Summarization
  2. Information systems applications

Index terms have been assigned to the content through auto-classification.

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AAAI'19/IAAI'19/EAAI'19: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence

January 2019

10088 pages

ISBN:978-1-57735-809-1

Copyright © 2019 Association for the Advancement of Artificial Intelligence.

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Association for the Advancement of Artificial Intelligence

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AAAI Press

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Published: 27 January 2019

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Cited By

Sun R(2024)AI-based Human-Centered Recommender Systems: Empirical Experiments and Research InfrastructureProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688012(1308-1313)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3640457.3688012
Xu HLiu HLv ZYang QWang WFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuningProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615056(2826-2835)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3615056
Li LZhang YChen L(2023)Personalized Prompt Learning for Explainable RecommendationACM Transactions on Information Systems10.1145/358048841:4(1-26)Online publication date: 23-Mar-2023
https://dl.acm.org/doi/10.1145/3580488
Zhang PGuan ZLiu BDing XLu TGu HGu N(2022)Building User-oriented Personalized Machine Translator based on User-Generated Textual ContentProceedings of the ACM on Human-Computer Interaction10.1145/35551716:CSCW2(1-26)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555171
Deng YLi YZhang WDing BLam W(2022)Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference ModelingACM Transactions on Information Systems10.1145/350778240:4(1-28)Online publication date: 9-Mar-2022
https://dl.acm.org/doi/10.1145/3507782
Alomari AIdris NSabri AAlsmadi I(2022)Deep reinforcement and transfer learning for abstractive text summarizationComputer Speech and Language10.1016/j.csl.2021.10127671:COnline publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.csl.2021.101276
Komwad NTiwari PPraveen BChowdary C(2022)A survey on review summarization and sentiment classificationKnowledge and Information Systems10.1007/s10115-022-01728-y64:9(2289-2327)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s10115-022-01728-y
Xu HLiu HJiao PWang WDiaz FShah CSuel TCastells PJones RSakai T(2021)Transformer Reasoning Network for Personalized Review SummarizationProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3462854(1452-1461)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3404835.3462854
Jones RZamani HSchedl MChen CReddy SClifton AKarlgren JHashemi HPappu ANazari ZYang LSemerci OBouchard HCarterette BDiaz FShah CSuel TCastells PJones RSakai T(2021)Current Challenges and Future Directions in Podcast Information AccessProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3462805(1554-1565)Online publication date: 11-Jul-2021
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Anantrasirichai NBull D(2021)Artificial intelligence in the creative industries: a reviewArtificial Intelligence Review10.1007/s10462-021-10039-755:1(589-656)Online publication date: 2-Jul-2021
https://dl.acm.org/doi/10.1007/s10462-021-10039-7
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