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Modeling Interestingness with Deep Neural Networks

Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, Li Deng
2014 Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)  
This paper presents a deep semantic similarity model (DSSM), a special type of deep neural networks designed for text analysis, for recommending target documents to be of interest to a user based on a  ...  The DSSM is trained on millions of Web transitions, and maps source-target document pairs to feature vectors in a latent space in such a way that the distance between source documents and their corresponding  ...  We also thank the three anonymous reviewers for their comments.  ... 
doi:10.3115/v1/d14-1002 dblp:conf/emnlp/GaoPGHD14 fatcat:djy7fptzibcl7csx7f6auh5n2a

User-centric pattern mining on knowledge graphs: An archaeological case study

W.X. Wilcke, V. de Boer, M.T.M. de Kleijn, F.A.H. van Harmelen, H.J. Scholten
2018 Journal of Web Semantics  
We also wish to thank all domain experts who participated in our survey for their willingness to sacrifice their free time, and without whom we would not have been able to complete this research.  ...  Acknowledgements We wish to express our deep gratitude to domain experts Milco Wansleeben and Rein van 't Veer for their enthusiastic encouragement and useful critiques during the various steps that have  ...  for assessing the interestingness of patterns [26, 27] .  ... 
doi:10.1016/j.websem.2018.12.004 fatcat:jfletslshzexzpe6ngywfhow5m

Do Student Evaluations of University Reflect Inaccurate Beliefs or Actual Experience? A Relative Rank Model

Gordon D. A. Brown, Alex M. Wood, Ruth S. Ogden, John Maltby
2014 Journal of Behavioral Decision Making  
It was shown that student satisfaction ratings are influenced by context in ways that have important theoretical and practical implications.  ...  Experiment 1 found strong effects of experimentally provided comparison context-for example, satisfaction with a given feedback time depended on the time's relative position within a context.  ...  ACKNOWLEDGEMENTS This work was supported by the Economic and Social Research Council (grant numbers RES-062-23-2462 and ES/K002201/1) and the Leverhulme Trust (grant number RP2012-V-022).  ... 
doi:10.1002/bdm.1827 pmid:25620847 pmcid:PMC4297360 fatcat:gnzwgifkhzh3ll4e36lgcp4gwi

LaMDA: Language Models for Dialog Applications [article]

Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee (+48 others)
2022 arXiv   pre-print
The second challenge, factual grounding, involves enabling the model to consult external knowledge sources, such as an information retrieval system, a language translator, and a calculator.  ...  LaMDA is a family of Transformer-based neural language models specialized for dialog, which have up to 137B parameters and are pre-trained on 1.56T words of public dialog data and web text.  ...  Hao Zhou for their help with the paper and the project.  ... 
arXiv:2201.08239v3 fatcat:mijuot4z3bdzxa6qplbjrucrem

Predicting Interestingness of Visual Content [chapter]

Claire-Hélène Demarty, Mats Sjöberg, Mihai Gabriel Constantin, Ngoc Q. K. Duong, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang
2017 Visual Content Indexing and Retrieval with Psycho-Visual Models  
The ability of multimedia data to attract and keep people's interest for longer periods of time is gaining more and more importance in the fields of information retrieval and recommendation, especially  ...  A real-world use scenario is targeted, namely interestingness is defined in the context of selecting visual content for illustrating a Video on Demand (VOD) website.  ...  Acknowledgements We would like to thank Yu-Gang Jiang and Baohan Xu from the Fudan University, China, and Hervé Bredin, from LIMSI, France for providing the features that accompany the released data, and  ... 
doi:10.1007/978-3-319-57687-9_10 fatcat:v462frbpsncsnjvpkajozezrhe

A survey of interestingness measures for knowledge discovery

KEN MCGARRY
2005 Knowledge engineering review (Print)  
This article presents a review of the available literature on the various measures devised for evaluating and ranking the discovered patterns produced by the data mining process.  ...  It is a well known fact that the data mining process can generate many hundreds and often thousands of patterns from data.  ...  In figure 1 three main techniques of pattern assessment are shown.  ... 
doi:10.1017/s0269888905000408 fatcat:7aiqi4oacvd4hd2sdt2cdqh3na

Interesting Multi-Relational Patterns [article]

Eirini Spyropoulou, Tijl De Bie
2011 arXiv   pre-print
We propose RMiner, an efficient algorithm to mine such patterns, and we introduce a method for quantifying their interestingness when contrasted with prior information of the data miner.  ...  We propose a new syntax for multi-relational patterns as complete connected subgraphs in a representation of the database as a K-partite graph.  ...  ACKNOWLEDGMENTS We would like to thank Michael Mampaey for providing the Smurfig code and data and for his support in using Smurfig, as well as Jilles Vreeken for the thorough proof reading and the insightful  ... 
arXiv:1106.4475v2 fatcat:qlvktpqx6ne5tnn5qrryu6f5qu

Interesting Multi-relational Patterns

Eirini Spyropoulou, Tijl De Bie
2011 2011 IEEE 11th International Conference on Data Mining  
We propose RMiner, an efficient algorithm to mine such patterns, and we introduce a method for quantifying their interestingness when contrasted with prior information of the data miner.  ...  We propose a new syntax for multi-relational patterns as complete connected subgraphs in a representation of the database as a -partite graph.  ...  ACKNOWLEDGMENTS We are grateful to Michael Mampaey for providing the Smurfig code and data and for his support in using Smurfig, Jilles Vreeken for his detailed and insightful comments on a draft of the  ... 
doi:10.1109/icdm.2011.82 dblp:conf/icdm/SpyropoulouB11 fatcat:fncsjrmx2fdvjjgk35psmzsx4q

Enhancing motivation in online courses with mobile communication tool support: A comparative study

Chantorn Chaiprasurt, Vatcharaporn Esichaikul
2013 International Review of Research in Open and Distance Learning  
Mobile technologies have helped establish new channels of communication among learners and instructors, potentially providing greater access to course information, and promoting easier access to course  ...  , and social ability) and objective assessment (for disengagement, engagement, and academic performance).  ...  SMS (targeted online feedback and information).  ... 
doi:10.19173/irrodl.v14i3.1416 fatcat:rjyiantzavdv3hradch5nj32km

Domain-Driven Data Mining: Challenges and Prospects

Longbing Cao
2010 IEEE Transactions on Knowledge and Data Engineering  
We understand D 3 M discloses many critical issues with no thorough and mature solutions available for now, which indicates the challenges and prospects for this new topic.  ...  In D 3 M, ubiquitous intelligence is incorporated into the mining process and models, and a corresponding problem-solving system is formed as the space for knowledge discovery and delivery.  ...  Yuming Ou, as well as the guest editors and reviewers, and others for their comments, discussions, and/ or experiments on the case studies.  ... 
doi:10.1109/tkde.2010.32 fatcat:bnwjryuoyngfhpwr2ylsuww7lu

Designating Opponents in Empirical Research Reports: The Rhetoric of 'Interestingness' in Consumer Research

Mark S. Johnson
2003 Marketing Theory  
Scholars in management, marketing, and consumer research have also cited Davis' conception of 'interestingness' as a characteristic of research that is more influential and intellectually creative.  ...  This article presents textual evidence from a volume of the Journal of Consumer Research demonstrating that a majority of researcher-authors of these articles use 'interestingness' as a rhetorical framing  ...  The remaining three articles in this group of 19 represent a variety of topics.  ... 
doi:10.1177/1470593103040783 fatcat:5eoj5kzbp5flrh3cnd6eoznbxq

Analyzing the Dynamics of Communication in Online Social Networks [chapter]

Munmun De Choudhury, Hari Sundaram, Ajita John, Doree Duncan Seligmann
2010 Handbook of Social Network Technologies and Applications  
models and finally discuss large-scale quantitative observational studies for each of these organizing ideas.  ...  This dissertation deals with the analysis of interpersonal communication dynamics in online social networks and social media.  ...  of new participants and PageRank based assessment).  ... 
doi:10.1007/978-1-4419-7142-5_4 fatcat:d2mn6rm64zg2bdgo4kdoysyi64

Beyond Roll-Up's and Drill-Down's: An Intentional Analytics Model to Reinvent OLAP (long-version) [article]

Panos Vassiliadis and Patrick Marcel and Stefano Rizzi
2018 arXiv   pre-print
We introduce a novel method for assessing the surprise that a new query result brings to the user, with respect to the information contained in previous results the user has seen via a new interestingness  ...  We redefine OLAP queries, in order to move to higher degrees of abstraction from roll-up's and drill-down's, and we propose a set of novel intentional OLAP operators, namely, describe, assess, explain,  ...  We are particularly thankful to the reviewers of both this paper and its preliminary version in DOLAP 2018 for their comments that helped us enrich the breadth of the related work, and the clarity of concepts  ... 
arXiv:1812.07854v1 fatcat:5oflgb75hfgwlgfx3gy3u4pwmy

3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022)

Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
Steadily increasing numbers of patent applications per year and large amounts of available patent data necessitate highly efficient and interactive next-generation information retrieval systems in the  ...  AI-enhanced Information Retrieval systems can improve patent search and analysis but also require millions of annotated sample data for training the ML models.  ...  for drug-target-interaction, which appears first in patents and is mostly not published elsewhere.  ... 
doi:10.1145/3477495.3531702 fatcat:majeyjdduncdhcnj72jxdfcorq

Interest-Based vs. Social Person-Recommenders in Social Networking Platforms [article]

Georg Groh and Michele Brocco and Andreas Kleemann
2011 arXiv   pre-print
We assess and compare the performance of different basic variants of the two approaches by precision / recall based performance with respect to reproducing known friendship relations and by an empirical  ...  With respect to the user's assessment of recommendation quality all approaches perform comparably well, while combined social-interest-based variants are slightly ahead in performance.  ...  There are no significant differences among the three test-groups.  ... 
arXiv:1107.5654v1 fatcat:nzj7q5chmrb6ha2ybfyzdhwocm
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