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Towards Personalized Review Summarization via User-Aware Sequence Network

Junjie Li, Haoran Li, Chengqing Zong
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
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  ...  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  ...  User-based Selective Gate Visualization In order to validate that our model is able to select important words in a review for personalized review summarization, we visualize user-based selective gate value  ... 
doi:10.1609/aaai.v33i01.33016690 fatcat:ai3qngur7nel7pw42hkbqcd5na

Generating Personalized Summaries Using Publicly Available Web Documents

Chandan Kumar, Prasad Pingali, Vasudeva Varma
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
In this paper we propose to make the summarization process user specific and present a design for generating personalized summaries of online articles that are tailored to each person's interest.  ...  To extract relevant information from such multiple online information sources summarization is being used. Current summarization systems produce a uniform version of summary for all users.  ...  User Specific Summarization Estimating User Background model Our aim is to provide specific summaries to user based on their field of expertise and personal interest.  ... 
doi:10.1109/wiiat.2008.332 dblp:conf/iat/KumarPV08 fatcat:x6d2bzypvffadhfsy2phwv6sam

Segmentation Based Personalized Web Page Summarization Model

KS Kuppusamy, G Aghila
2012 Journal of Advances in Information Technology  
With the incorporation of personalization in the summarization process, the micro-page can be tailored based on the user preferences.  ...  This paper proposes a model for web page summarization based on the segmentation approach.  ...  .  Validation of the proposed segmentation based personalized web page summarization model with the help of prototype implementation.  ... 
doi:10.4304/jait.3.3.155-161 fatcat:wnf7nu7sr5bitjlcc3ngw4rye4

Personalized Semantic Retrieval and Summarization of Web Based Documents

Salah T., Khaled M., Naveed Arshad
2013 International Journal of Advanced Computer Science and Applications  
In a proposed system, the Web documents are represented in concept vector model using WordNet. Personalization is used in a proposed system by building user model (UM).  ...  These methods do regard as the personalization of the users. Semantic retrieval techniques are performed by interpreting the semantic of keywords.  ...  After building the user model; that is based on the user interest, the system uses the user model to rerank the retrieved documents.  ... 
doi:10.14569/ijacsa.2013.040128 fatcat:7x7755lp45ddbf4onqdldlngfu

Evaluation of a System for Personalized Summarization of Web Contents [chapter]

Alberto Díaz, Pablo Gervás, Antonio García
2005 Lecture Notes in Computer Science  
We also considered a user-centred qualitative evaluation indicating a high level of user satisfaction with the summarization method described, in consonance with the quantitative results.  ...  An interesting approach is to replace the first sentences by a personalized summary extracted according to a user profile that represents the information needs of the user.  ...  A Web personalization system is based on 3 main functionalities: content selection, user model adaptation, and content generation.  ... 
doi:10.1007/11527886_63 fatcat:sh5uqprocrdrdkdmds765xlfvu

A novel user-centered design for personalized video summarization

Gheorghita Ghinea, Rajkumar Kannan, Sridhar Swaminathan, Suresh Kannaiyan
2014 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)  
However, a generic video summary that is generated based only on audio, visual and textual saliencies will not satisfy every user.  ...  This paper proposes a novel system for generating semantically meaningful personalized video summaries, which are tailored to the individual user's preferences over video semantics.  ...  Various user attention based models have been proposed for summarization to make use of the users' perceptual response to low-level audio, visual and textual features [1] [2] [3] [4] , and the users'  ... 
doi:10.1109/icmew.2014.6890642 dblp:conf/icmcs/GhineaKSK14 fatcat:5ebnzb4zafa57d4mcf32tpjlti

Semantic based Personalized Framework for Information Retrieval

K. Saravanakumar, Mahesh Moturi
2011 International Journal of Computer Applications  
By this framework we provide users a convenient and more precise search service with personalization.  ...  In this framework the semantics in the user query are identified and these are summarized according to the context.  ...  IR using user history based on previous search would help more in personalizing as well as improving the search [4] .  ... 
doi:10.5120/2423-3254 fatcat:kmn2llr5bbhflkeb73znp5a2wm

Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users' Feedback [article]

Samira Ghodratnama and Mehrdad Zakershahrak and Fariborz Sobhanmanesh
2021 arXiv   pre-print
This paper proposes an interactive concept-based summarization model, called Adaptive Summaries, that helps users make their desired summary instead of producing a single inflexible summary.  ...  Evaluations show that Adaptive Summaries helps users make high-quality summaries based on their preferences by maximizing the user-desired content in the generated summaries.  ...  This is modeled as an objective function to maximize the score of sentences based on the user-selected budget.  ... 
arXiv:2012.13387v2 fatcat:73zl6mciczbbhlapymjvolp4ja

Summarization of archived and shared personal photo collections

Pinaki Sinha
2011 Proceedings of the 20th international conference companion on World wide web - WWW '11  
We define salient properties of an effective photo summary and model summarization as an optimization of these properties, given the size constraints.  ...  We also introduce metrics for evaluating photo summaries based on their information content and the ability to satisfy user's information needs.  ...  The edges denote various relationships like user-user (friendship) and user-photo (user-tagged, user-commented). Summarization is important both for archived and socially shared personal photos.  ... 
doi:10.1145/1963192.1963354 dblp:conf/www/Sinha11 fatcat:v4kcxrnjkfeozorw6zgb5wuur4

Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback

Avinesh PVS, Christian M. Meyer
2017 Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
In this paper, we propose an extractive multi-document summarization (MDS) system using joint optimization and active learning for content selection grounded in user feedback.  ...  We conduct multiple simulation-based experiments and analyze the effect of feedbackbased concept selection in the ILP setup in order to maximize the user-desired content in the summary.  ...  In this paper, we propose an interactive conceptbased model to assist users in creating a personalized summary based on their feedback.  ... 
doi:10.18653/v1/p17-1124 dblp:conf/acl/AvineshM17 fatcat:xgri2evu7vhe5n3sj3imrwi2xa

TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization

Yu-Hsiu Chen, Pin-Yu Chen, Hong-Han Shuai, Wen-Chih Peng
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We propose a novel personalized EDM subject generation model named Soft Template-based Personalized EDM Subject Generator (TemPEST) to consider the aforementioned users' characteristics when generating  ...  subjects, which contains a soft template-based selective encoder network, a user rating encoder network, a summary decoder network and a rating decoder.  ...  The contributions are summarized as follows: • We propose a personalized Seq2Seq-based model named Soft Template-based Personalized EDM Subject Generation Network (TemPEST) to generate the personalized  ... 
doi:10.1609/aaai.v34i05.6252 fatcat:e6jutmnisrbhblpuobdkvnyzhi

Personalized Text Summarization Based on Important Terms Identification

Robert Moro, M'ria Bielikov'
2012 2012 23rd International Workshop on Database and Expert Systems Applications  
In this paper we propose a method of personalized text summarization which improves the conventional automatic text summarization methods by taking into account the differences in readers' characteristics  ...  We use annotations added by readers as one of the sources of personalization.  ...  supported by the grants VG1/0971/11/2011-2014, APVV-0208-10 and it is the partial result of the Research & Development Operational Programme for the project Research of methods for acquisition, analysis and personalized  ... 
doi:10.1109/dexa.2012.47 dblp:conf/dexaw/MoroB12 fatcat:tpgrraop5bddrlnulkpptjuec4

Personalized Summaries Generation: An Approach based on Learning Styles

Uriel Ramírez, Alicia Martínez, Yasmín Hernández
2020 Research in Computing Science  
This article presents a method for the automatic generation of personalized summaries in Spanish. The personalization is based on the VAK learning styles model.  ...  Automatic text summarization aims to address the problem of information overload by extracting the most important information from a document.  ...  Conclusions and Future Work In this paper, we presented an extractive approach for personalized automatic summarization. The personalization is based on the learning style of the user.  ... 
dblp:journals/rcs/RamirezMH20 fatcat:2df6hpnv3zg63gzyi743i3jnei

Personalized News Filtering and Summarization on the Web

Xindong Wu, Fei Xie, Gongqing Wu, Wei Ding
2011 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence  
An embedded learning component of PNFS induces a user interest model and recommends personalized news.  ...  Recommendation, filtering, and summarization of Web news have received much attention in Web intelligence, aiming to find interesting news and summarize concise content for users.  ...  The user can also modify the keyword model to improve the recommendation performance. The PNFS system consists of two phases. Phase 1: Personalized Web News Filtering.  ... 
doi:10.1109/ictai.2011.68 dblp:conf/ictai/WuXWD11 fatcat:qepzzmiz6re3joccc5asp7di7m

A personalized summarization of video life-logs from an indoor multi-camera system using a fuzzy rule-based system with domain knowledge

Han-Saem Park, Sung-Bae Cho
2011 Information Systems  
The user-entered degrees of interest in objects, persons, and events are used for a personalized summarization. We confirmed experimentally that the proposed method provides promising results.  ...  Summarization creates a summary sequence from whole sequences by using a fuzzy rule-based system to approximate human decision making.  ...  The proposed method User input To summarize an office event sequence based on users' personal interests, we attempted to use the degree of interest (DOI) input for each event, person, and object.  ... 
doi:10.1016/j.is.2011.04.005 fatcat:2zlboyjon5chpbq7hfsdt4g4du
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