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Model news relatedness through user comments

Xuanhui Wang, Jian Bian, Yi Chang, Belle Tseng
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
Most of previous work on news relatedness focuses on news article texts. In this paper, we study the benefit of user-generated comments on modeling news relatedness.  ...  We compare different ways of capturing relatedness by leveraging both text and user interaction information in comments.  ...  INTRODUCTION Many online news providers, such as Yahoo! News and New York Times, have allowed users to post comments on published news articles.  ... 
doi:10.1145/2187980.2188161 dblp:conf/www/WangBCT12 fatcat:vtfx7omkdjbrxau5dtff7es7fy

Analyzing government regulations using structural and domain information

G.X. Lau, K.H. Law, G. Wiederhold
2005 Computer  
Below is a related public comment: This letter is in response to the draft of the Access Board regarding the new ADA rules.... 2.  ...  Bracketed numbers indicate related public comments-in this case, Section 1105.4 has six comments. Users can follow the links to view both content and commentary.  ... 
doi:10.1109/mc.2005.397 fatcat:my4cqipxnzhebhckk5iqpsfxci

CALL for autonomy, competency and relatedness: Motivating language learning environments in Web 2.0

Antonie Alm
2006 The JALT CALL Journal  
Blogs on the other hand are dynamic, instead of a fixed page a reverse chronological post appears on top, they can be updated by the blogger and they allow for user input through comments.  ...  The Internet is not only growing in content and modes; the main carrier of the new development seems to be its users.  ... 
doi:10.29140/jaltcall.v2n3.30 fatcat:ftcvzdrssjdd5iwlemp3d3lduq

A relatedness analysis of government regulations using domain knowledge and structural organization

Gloria T. Lau, Kincho H. Law, Gio Wiederhold
2006 Information retrieval (Boston)  
Regulations are first compared based on conceptual information as well as domain knowledge through feature matching.  ...  System performance is evaluated by comparing a similarity ranking produced by users with the machine-predicted ranking.  ...  Performance evaluation is conducted through a user survey, where results obtained using our system are compared with results from a traditional retrieval model.  ... 
doi:10.1007/s10791-006-9010-8 fatcat:lmxvcec2nnhz3mve4dy7tr5vuy

The relationships among relatedness frustration, affiliation motivation, and WeChat engagement, moderated by relatedness satisfaction

Yunxiang Chen, Ruoxuan Li, Xiangping Liu
2021 Cyberpsychology: Journal of Psychosocial Research on Cyberpspace  
The current study was designed based on the two-process model of the relatedness need to investigate the cyber-psychological mechanisms in the relationship between relatedness frustration and social networking  ...  This study helps to understand motivational coping mechanisms among people with different levels of relatedness satisfaction in relation to SNSs after experiencing relatedness frustration.  ...  In SNSs, making new friends, joining chat groups (i.e., involvement), and interacting with others through sharing and commenting (i.e., active use) are basic social rules and forms of socialization.  ... 
doi:10.5817/cp2021-4-7 fatcat:b7nt3yh5gjaifkahgwuhknm4nq

Monitoring Propagations in the Blogosphere for Viral Marketing

Meichieh Chen, Neil Rubens, Fumihiko Anma, Toshio Okamoto
2012 Journal of Emerging Technologies in Web Intelligence  
In this way, topic similarity, relatedness, and word repetition between leader and followers writing products are considered as the propagated information. The contribution of this paper is twofold.  ...  Wu, Huberman, Adamic, and Tyler [17] are the first to use the concept of virus epidemic model to simulate information propagation through email forwarded URLs and attachments within a group of people  ...  Exploiting the number of page returned from existing search engines provides users a very simple approach to measure word relatedness.  ... 
doi:10.4304/jetwi.4.1.94-105 fatcat:2jip3s54qrayjhxj72uwqvvxki

Towards Digital Sustainability: Profiles of Millennial Reviewers, Reputation Scores and Intrinsic Motivation Matter

Alejandro García-Jurado, José Javier Pérez-Barea, Francisco Fernández-Navarro
2021 Sustainability  
It is confirmed that online product reviewers can be characterized based on their intrinsic motivations, which are mainly egoistic motives, competence and social relatedness.  ...  In this way, more information will be generated through the reviews that will help responsible consumers to choose better in their purchase decisions. The objective of this study is twofold.  ...  Other possible approaches to gamification to attempt to influence individuals who are not motivated by selfishness would be through social relatedness or altruism.  ... 
doi:10.3390/su13063297 fatcat:vvq3rmhj4bhfnmf2qj5oh4lhce

Learning to model relatedness for news recommendation

Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, Yi Chang
2011 Proceedings of the 20th international conference on World wide web - WWW '11  
Motivated by this understanding, we define a set of features to capture each of these aspects and put forward a learning approach to model relatedness.  ...  Given that a user has perused a current news article, our idea is to automatically identify "related" news articles which the user would like to read afterwards.  ...  It is also very promising to incorporate into the unified relatedness function other non-content features, such as click-rate, user comments, social networks, news transition patterns, timestamp, and document  ... 
doi:10.1145/1963405.1963417 dblp:conf/www/LvMKZWC11 fatcat:3tfk3arelrfibneh3h6tgvtdqa

An e-government information architecture for regulation analysis and compliance assistance

Gloria T. Lau, Shawn Kerrigan, Kincho H. Law, Gio Wiederhold
2004 Proceedings of the 6th international conference on Electronic commerce - ICEC '04  
A relatedness analysis is performed by comparing the extracted features as well as structural and referential information from regulations.  ...  Our framework provides compliance assistance using a reasoning tool based on First Order Predicate Calculus logic, where users are alerted of detected conflicts or otherwise compliance with the regulation  ...  Users can click through the structure to view relevant sections classified according to concepts.  ... 
doi:10.1145/1052220.1052279 dblp:conf/ACMicec/LauKLW04 fatcat:dyv3l35hsng6hgg274ihfkazwm

Privacy Concerns in Social Networks

Renuka Devi, R Swathi, Bharath Narayanan
2019 Journal of Physics, Conference Series  
The algorithm first checks if the user has a valid original profile, then accesses information on the viewer and then displays the information which is related between the two.  ...  It takes into account the total number of friends, photos, maximum likes and comments each user has.  ...  For this purpose, they come up with a new algorithm where a classifier is constructed. With a help of these classifiers, they figure examples for positive and negative users.  ... 
doi:10.1088/1742-6596/1362/1/012014 fatcat:6sbvujcv7jc5jdjicjgcgetkna

CD-SemMF: Cross-Domain Semantic Relatedness Based Matrix Factorization Model Enabled with Linked Open Data for User Cold Start Issue

Senthilselvan Natarajan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Indragandhi V, Saravanan Palani, Jatinderkumar R. Saini, Logesh Ravi
2022 IEEE Access  
The proposed model provides relevant, personalized recommendations for the target new user with the user preferences gained from the source domain and by exploiting item semantic relatedness.  ...  A novel model is proposed in this research work called Cross-Domain Semantic Relatedness based Matrix Factorization model (CD-SemMF) resolves the user cold start issue in collaborative filtering recommender  ...  The CD-SemMF model suggests relevant items to new users efficiently. C.  ... 
doi:10.1109/access.2022.3175566 fatcat:aabm7h22d5bbdhosv7g74vgnze

Learning Social Media Content Optimization: How Can SMEs Draw the Users' Attention on Official WeChat Accounts?

Xueyun Zeng, Xuening Xu, Yenchun Jim Wu
2022 Frontiers in Psychology  
The purpose of this work is to demonstrate how social media content reaches and impresses more users.  ...  Application of artificial intelligence is accelerating the digital transformation of enterprises, and digital content optimization is crucial to take the users' attention in social media usage.  ...  Therefore, some deep learning algorithms, such as SGD, RMSProp, Adam and so on, can develop more complex estimation models and improve prediction accuracy through big data training.  ... 
doi:10.3389/fpsyg.2021.783151 pmid:35095669 pmcid:PMC8791077 fatcat:chpguxswbvcz5ak4bwdrl5etpi

Discovering relevant scientific literature on the Web

K.D. Bollacker, S. Lawrence, C.L. Giles
2000 IEEE Intelligent Systems and their Applications  
Acknowledgments We thank Eric Glover, Gary Flake, and Nelson Amaral for their helpful suggestions and comments.  ...  CiteSeer examines the local publication database to find new papers that might be interesting to the user and alerts the user by e-mail or through a Web-based interface.  ...  Research paper relatedness measures When a new candidate paper appears, CiteSeer must decide whether to recommend it to the user.  ... 
doi:10.1109/5254.850826 fatcat:y7ye72mizrgknk7ap4gblh62c4

Creating Socio-Technical Patches for Information Foraging: A Requirements Traceability Case Study

Darius Cepulis, Nan Niu
2018 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)  
The constructs provided by IFT were first used to analyze how a web user might search for information online [6], modeling scent as relatedness of a link to the forager's prey.  ...  The user who wrote the comment has determined that the referenced user should have strong knowledge on the comment. • Comment to User: weight = 3.  ... 
doi:10.1109/vlhcc.2018.8506526 dblp:conf/vl/CepulisN18 fatcat:6trpkwkdhfbsrcbhkjlqdx6ige

Domain model relations discovering in educational texts based on user created annotations

Vladimir Mihal, Maria Bielikova
2011 2011 14th International Conference on Interactive Collaborative Learning  
Based on the content analysis we construct a graph consisting of educational content, external resources and existing concepts in the domain model and use graph algorithms to derive new relations.  ...  In this paper we propose a method of discovering relations in educational texts using annotations created by users (learners).  ...  and concepts and discover new relations for the domain model.  ... 
doi:10.1109/icl.2011.6059644 fatcat:nher72p6dnfy5oikoaed6oca5y
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