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Enriching information retrieval

Paul N. Bennett, Khalid El-Arini, Thorsten Joachims, Krysta M. Svore
2012 SIGIR Forum  
The goal of the Enriching Information Retrieval workshop at SIGIR 2011 was to explore how new and emerging sources of contextual metadata can be used for improving information retrieval, including ranking  ...  Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies  ...  Many of the current approaches to incorporating contextual metadata in a retrieval system involve a reranking procedure, where one algorithm decides which documents should be near the top of the list,  ... 
doi:10.1145/2093346.2093355 fatcat:77mxfekktbhqtfhwpldmkovs6m

A Contextual Query Expansion Based Multi-document Summarizer for Smart Learning

Guangbing Yang, Kinshuk, Dunwei Wen, Erkki Sutinen
2013 2013 International Conference on Signal-Image Technology & Internet-Based Systems  
In our approach, a multi-document summarization system is built upon a topical n-grams model with a query expansion algorithm to capture the contextual information conveyed by word order and abstract topics  ...  An approach in contextual query expansion based multi-document summarization is proposed in this paper to provide a solution to alleviate these problems.  ...  ACKNOWLEDGMENT This research was supported by the NSERC, iCORE, Xerox, and the research related funding by Mr. A. Markin.  ... 
doi:10.1109/sitis.2013.163 dblp:conf/sitis/YangKWS13 fatcat:5xrwnuzwf5f2fkw4n36sxch5ly

Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization

Lei Guo, Yu Han, Haoran Jiang, Xinxin Yang, Xinhua Wang, Xiyu Liu
2020 Complexity  
Recent works argued that the understanding of document context can be improved by the convolutional neural network (CNN) and proposed the convolutional matrix factorization (ConvMF) to leverage the contextual  ...  However, due to the inherent limitation of the bag-of-words model, they cannot effectively utilize contextual information of the documents, which results in a shallow understanding of the documents.  ...  the user's social relationships into CMF-I by bridging the social network and user-item matrix space with a shared user latent factor (iv) We incorporate another CNN network to model the document contextual  ... 
doi:10.1155/2020/1401236 fatcat:ve72af2syfbwxf6xkdmvnvaftm

Context-Enhanced Personalized Social Summarization

Po Hu, Dong-Hong Ji, Chong Teng, Yujing Guo
2012 International Conference on Computational Linguistics  
This work investigates an interesting and challenging task in summarization, i.e., personalized social summarization, which aims to adapt summarization result of a specified document to an intended user  ...  And both the informativeness of sentences and the user's interest aspects are incorporated in a unified ranking process.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China (No. 61133012, 61173062, 61070082, 61070083, 61070243), the major program of the National Social Science Foundation  ... 
dblp:conf/coling/HuJTG12 fatcat:n3722fgklbdxdf7bgexupnskbq

Applying Automatic Text Summarization for Fake News Detection [article]

Philipp Hartl, Udo Kruschwitz
2022 arXiv   pre-print
Additionally, it enables the incorporation of contextual information.  ...  Apart from the benefit of using automatic text summarization techniques we also find that the incorporation of contextual information contributes to performance gains.  ...  Furthermore, we tried to incorporate different aspects of the social context features provided by FakeNewsNet.  ... 
arXiv:2204.01841v1 fatcat:mpx5hq2llzd6noylo5mpsy355u

Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks [article]

Chandra Khatri, Gyanit Singh, Nish Parikh
2018 arXiv   pre-print
We provide side by side comparison for abstractive and extractive summarizers (contextual and non-contextual) on same evaluation dataset.  ...  Intuitively, this is similar to humans reading the title, abstract or any other contextual information before reading the document. This gives humans a high-level idea of what the document is about.  ...  and gather other contextual information before reading the entire document/articles.  ... 
arXiv:1807.08000v2 fatcat:epmpqnfsujd6dee2bel6b7ixcq

Automatic Multi Document Summarization Approaches

Kumar
2012 Journal of Computer Science  
It is found that most of the existing methods tend to focus on sentence scoring and less consideration is given to the contextual information content in multiple documents.  ...  Problem statement: Text summarization can be of different nature ranging from indicative summary that identifies the topics of the document to informative summary which is meant to represent the concise  ...  ACKNOWLEDGEMENT This research is sponsored by University Teknologi Malaysia under the University Research Grant.  ... 
doi:10.3844/jcssp.2012.133.140 fatcat:6wry32zaufczbkm7f62nor5ipq

Report on INEX 2012

P. Bellot, M. Marx, A. Mishra, V. Moriceau, J. Mothe, M. Preminger, G. Ramírez, M. Sanderson, E. Sanjuan, F. Scholer, A. Schuh, T. Chappell (+12 others)
2012 SIGIR Forum  
INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results  ...  This paper reports on the INEX'12 evaluation campaign, which consisted of a five tracks: Linked Data, Relevance Feedback, Snippet Retrieval, Social Book Search, and Tweet Contextualization.  ...  with a synthetic summary of contextual information grasped from Wikipedia and evaluated by both the relevant text retrieved, and the "last point of interest."  ... 
doi:10.1145/2422256.2422264 fatcat:eueapb4nanhcxbruxpppgb5pda

A Hierarchical Attention Model for Social Contextual Image Recommendation [article]

Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang
2019 arXiv   pre-print
., upload history, social influence, and owner admiration) that affect each user's latent preferences, where each aspect summarizes a contextual factor from the complex relationships between users and  ...  To this end, in this paper, we develop a hierarchical attention model for social contextual image recommendation.  ...  ., VBPR improves over BPR about 3% by incorporating the visual information in the modeling process.  ... 
arXiv:1806.00723v3 fatcat:3jc5twhvyvbevhec5zpzjlhvwy

Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research Direction

Khalid Haruna, Maizatul Akmar Ismail, Suhendroyono Suhendroyono, Damiasih Damiasih, Adi Pierewan, Haruna Chiroma, Tutut Herawan
2017 Applied Sciences  
The review explores the different contextual information incorporated in recommender systems and our rigorous analysis has demonstrated that they could be categorized into spatial, temporal and static.  ...  The authors of [46] presented a systematic literature review on CARS to identify the contextual information considered relevant by the researchers in generating context-based recommendations from 2012  ...  Based on the review, the incorporated contextual information in recommender systems (RS) can be viewed as either formalizing or identifying a place (spatial context) for the users and/or the items by characterizing  ... 
doi:10.3390/app7121211 fatcat:p43pqjs7lbdcbknbo76anzawui

Towards context-aware search with right click

Aixin Sun, Chii-Hian Lou
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
the contextual information captured from the source document.  ...  Because the document being read by the searcher often provides sufficient contextual information for the query, search engine could provide much more relevant search results if the query is augmented by  ...  Based on the two observations, we argue that the contextual information available in the source document of a right-click query is not utilized by existing search engines.  ... 
doi:10.1145/2600428.2609456 dblp:conf/sigir/SunL14 fatcat:dar4l37ugvelpn3m7gvgl5edjy

Survey on social networking services

Rizwana Irfan, Sajjad Ahmad Madani, Khizar Hayat, Hongxiang Li, Samee U. Khan, Rajiv Ranjan, Imran A. Khan, Joanna Kolodziej, Babar Nazir, Dan Chen, Lizhe Wang, Gage Bickler
2013 IET Networks  
The Integration of contextual information with SNSs can be more useful and productive for the development of the intelligent social communicational services.  ...  This survey provides a comprehensive overview of the current SNSs and discusses different possibilities of incorporating the existing SNSs into the context-aware techniques that include semantic Web, social  ...  Khan's work was partly supported by the Young International Scientist Fellowship of the Chinese Academy of Sciences, (Grant No. 2011Y2GA01).  ... 
doi:10.1049/iet-net.2013.0009 fatcat:gpnxhfeuqfgsxjpzpo7nk7sc5e

Investigating Contextual Influence in Document-Level Translation

Prashanth Nayak, Rejwanul Haque, John D. Kelleher, Andy Way
2022 Information  
We examined how contextual information improves translation in document-level NMT.  ...  As an example, hierarchical attention network (HAN) models use document-level context for translation prediction. In this work, we studied translations produced by the HAN-based MT systems.  ...  To summarize, numerous architectures have been proposed for incorporating document-level context in recent times. In their approach, Wang et al.  ... 
doi:10.3390/info13050249 fatcat:apw27atjlfdylk5ncnjqlak2za

Inter-document Contextual Language model

Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
2016 Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies  
In this paper, we examine the impact of employing contextual, structural information from a tree-structured document set to derive a language model.  ...  Our results show that this information significantly improves the accuracy of the resultant model.  ...  inter-document contextual information.  ... 
doi:10.18653/v1/n16-1090 dblp:conf/naacl/TranZH16 fatcat:blj2eihrize5njahqtjqjenyxq

The role of context in implementation research for non-communicable diseases: Answering the 'how-to' dilemma

Meena Daivadanam, Maia Ingram, Kristi Sidney Annerstedt, Gary Parker, Kirsty Bobrow, Lisa Dolovich, Gillian Gould, Michaela Riddell, Rajesh Vedanthan, Jacqui Webster, Pilvikki Absetz, Helle Mölsted Alvesson (+26 others)
2019 PLoS ONE  
or at risk of chronic disease and how contextual lessons were incorporated into the intervention or the implementation process.  ...  Understanding context and how this can be systematically assessed and incorporated is crucial to successful implementation.  ...  Contextual lessons were incorporated directly into the intervention by informing or adapting the intervention, improving intervention participation or improving communication with participants/stakeholders  ... 
doi:10.1371/journal.pone.0214454 pmid:30958868 pmcid:PMC6453477 fatcat:bfuccdqoxrawtok6kmdaiyp3zq
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