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Predicting community preference of comments on the Social Web

Chiao-Fang Hsu, James Caverlee, Elham Khabiri
2012 Web Intelligence and Agent Systems  
Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web.  ...  We propose and evaluate a machine learning-based approach for ranking comments on the Social Web based on the community's expressed preferences, which can be used to promote high-quality comments and filter  ...  on the Social Web by community preference.  ... 
doi:10.3233/wia-2012-0256 fatcat:j4px2ud3hrbkvh2t2j7b6wn3pm

Ranking Comments on the Social Web

Chiao-Fang Hsu, Elham Khabiri, James Caverlee
2009 2009 International Conference on Computational Science and Engineering  
We propose and evaluate a machine learning-based approach for ranking comments on the Social Web based on the community's expressed preferences, which can be used to promote high-quality comments and filter  ...  the presence of increasing spam and a flood of Social Web metadata.  ...  This comment has a comment community rating of +37. III. LEARNING TO RANK COMMENTS In this section, we present the formal model for ranking comments on the Social Web by community preference.  ... 
doi:10.1109/cse.2009.109 dblp:conf/cse/HsuKC09 fatcat:zc52n327dzhiza7mgd4kn3j3ge

A Survey on Personalized Multimedia Content Search

Vanashri N.
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Recommender systems or recommendation systems are a subclass of information filtering system that seek to predict 'rating' or 'preference' that are given by users.  ...  Millions of users share opinions on different aspects of life every day. User can give opinions through their comments related to multimedia contents.  ...  Our sincere thanks to SKN Sinhgad Institute of Technology and Science for providing a strong platform to develop our skill and capabilities.  ... 
doi:10.17762/ijritcc2321-8169.150243 fatcat:zgyuxqsj2zhwve6t7bcocfc7ny

SocialTrust++: Building community-based trust in Social Information Systems

James Caverlee, Zhiyuan Cheng, Brian Eoff, Chiao-Fang Hsu, Krishna Kamath, Said Kashoob, Jeremy Kelley, Elham Khabiri, Kyumin Lee
2010 Proceedings of the 6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing  
For example, the presence of poor quality users and users intent on manipulating the system can disrupt the quality of socially-powered information and knowledge sharing applications.  ...  Concretely, we are developing a trustworthy community-based information platform so that each user in a Social Information System can have transparent access to the community's trust perspective to enable  ...  Toward this goal, we focus on (i) first, identifying and filtering social spammers that degrade the quality of a social system; and (ii) then, building predictive community preference models for estimating  ... 
doi:10.4108/icst.collaboratecom.2010.40 dblp:conf/colcom/CaverleeCEHKKKKL10 fatcat:t6dytjhuljb65gf43s2dtralze

Impact of social influence in e-commerce decision making

Young Ae Kim, Jaideep Srivastava
2007 Proceedings of the ninth international conference on Electronic commerce - ICEC '07  
We also provide a summary of technology for social network analysis and identify the research challenges of measuring and leveraging the impact of social influence on E-commerce decision making.  ...  E-commerce companies have recently started to capture data on the social interaction between consumers in their websites, with the potential objective of understanding and leveraging social influence in  ...  Most research has focused on identifying social networks in web communities and e-mail networks, which have many kinds of interactions such as reading, posting, commenting, and forwarding.  ... 
doi:10.1145/1282100.1282157 dblp:conf/ACMicec/KimS07 fatcat:fke4wxxvc5fgdiw4ycet55dmy4

Logistic Regression: Aggregating Reviews by User Preference Modeling
English

Vanashri N. Sawant, Pr of. Supriya Sarkar
2015 International Journal of Innovative Research in Computer and Communication Engineering  
This proposed system designed on the basis of comments left by user earlier.  ...  The proposed algorithm can accurately predict a user"s preferences in their interest area.  ...  [17] have examined the potential impact of user comments on search accuracy in social Web sites [17] .  ... 
doi:10.15680/ijircce.2015.0308023 fatcat:rgpil36sufbw7k6uakqwkpp7ve

ANALYSIS OF COLLABORATIVE FILTERING WITH I-SSU RECOMMENDATION SYSTEM

E. Kaviyavarshini
2018 International Journal of Advanced Research in Computer Science  
The bulk of the present studies investigates the rating prediction and recommendation of things supported user-item bipartite graph and user-user social graph, therefore, referred to as social recommendation  ...  The users in such social networks will rate some fascinating things and provides comments.  ...  This Social communication model became a tool that made-up the manner for the advanced mode of communication between all the networks and web users.  ... 
doi:10.26483/ijarcs.v9i3.6019 fatcat:yfh3436ranauxhky4zn3ja275i

Implicit Many-to-One Communication in Online Communities [chapter]

Mu Xia, Yun Huang, Wenjing Duan, Andrew B. Whinston
2007 Communities and Technologies 2007  
On the one hand, for information consumers, the cost of expressing one's preference and opinion is lower-it is easier to click to vote on prearranged choices than to write a comment.  ...  Second, because the actions are standard and a simplification of the real, complex user opinions and preferences, it is hard to read into these actions and make any prediction based on them.  ... 
doi:10.1007/978-1-84628-905-7_14 fatcat:gwsrgfat3ndrdn7nmjjmqc3hfq

Ballot box communication in online communities

Mu Xia, Yun Huang, Wenjing Duan, Andrew B. Whinston
2009 Communications of the ACM  
Both study the social interaction aspect of communities such as user commenting and discussing.  ...  The interaction of users and the community also makes it challenging to predict the dynamics.  ... 
doi:10.1145/1562164.1562199 fatcat:eva5g6icsrcffbaw4vdzg7jof4

Learning Semantics From Multimedia Web Resources: An Introduction to the Special Issue

Qi Tian, Jinhui Tang, Marcel Worring, Daniel Gatica-perez
2012 IEEE transactions on multimedia  
ACKNOWLEDGMENT We thank all the reviewers for their valuable comments that ultimately ensure the high quality of the special issue, and all the contributing authors for their interesting and innovative  ...  The editorial staff of T-MM, especially R. Wollman, has been extremely supportive, helpful, and patient throughout the entire process.  ...  This approach can be readily applied for annotation of social media on the Web. B.  ... 
doi:10.1109/tmm.2012.2208026 fatcat:uohusfrilrcdvgrzac7xf3olq4

Social Media Responses to the Annals of Emergency Medicine Residents' Perspective Article on Multiple Mini-Interviews

Nikita K. Joshi, Lalena M. Yarris, Christopher I. Doty, Michelle Lin
2014 Annals of Emergency Medicine  
through Googleþ 3 Number of site comments Comments made directly on the Web site in the blog comments section 21 Average word count per blog comment (excluding citations) 141 Symplur Analytics  ...  Laura Hopson (University of Michigan) succinctly summarized this on the Web site: "The MMI's [multiple mini-interview's] ultimate intent is to get at examples of behavior that could potentially be predictive  ... 
doi:10.1016/j.annemergmed.2014.07.024 pmid:25149965 fatcat:564ionlz25bfzcldoehgnyhx2m

Recommenders everywhere:

Dan Frankowski, Shyong K. Lam, Shilad Sen, F. Maxwell Harper, Scott Yilek, Michael Cassano, John Riedl
2007 Proceedings of the 2007 international symposium on Wikis - WikiSym '07  
We describe the features of WikiLens, which are based on our principles, and give lessons learned from two years of experience running wikilens.org. 3 Many recommender systems are based on collaborative  ...  Since all recommender communities start small, we look at feasibility and utility in the small world, one with few users, few items, few ratings.  ...  see specific individuals' preferences for items, and (4) depending on users to understand the relationship of their preferences to those of other users.  ... 
doi:10.1145/1296951.1296957 dblp:conf/wikis/FrankowskiLSHYCR07 fatcat:jgcceulnwzacrkn677p3s7mutq

Deep Learning Enabled Social Media Recommendation Based on User Comments

K. Saraswathi, V. Mohanraj, Y. Suresh, J. Senthilkumar
2023 Computer systems science and engineering  
So it is efficient to analyse the trust comment and remove the irrelevant sentence appropriately. The first step is to collect the data based on the transactional reviews of social media.  ...  Although research on RS social media is increasing year by year, the comprehensive literature review and classification of this RS research is limited and needs to be improved.  ...  On social media to read users 'preferences in-depth, on large amounts of user data, especially users' online activities (tags/ ratings/check-ins, etc.) to read users' preferences in depth [1] However  ... 
doi:10.32604/csse.2023.027987 fatcat:jwexhwb34vehlglrfsvjv57znu

An introduction to the special issue

Meixun Zhao, Liguang Sun, Quanzhen Chen, Wensheng Jiang
2013 Journal of Ocean University of China  
ACKNOWLEDGMENT We thank all the reviewers for their valuable comments that ultimately ensure the high quality of the special issue, and all the contributing authors for their interesting and innovative  ...  The editorial staff of T-MM, especially R. Wollman, has been extremely supportive, helpful, and patient throughout the entire process.  ...  This approach can be readily applied for annotation of social media on the Web. B.  ... 
doi:10.1007/s11802-013-2240-7 fatcat:yftgrrrowbdhlg32gaolzkuoza

Adolescent peer relationships and behavior problems predict young adults' communication on social networking websites

Amori Yee Mikami, David E. Szwedo, Joseph P. Allen, Meredyth A. Evans, Amanda L. Hare
2010 Developmental Psychology  
This study examined online communication on social networking web pages in a longitudinal sample of 92 youths (39 male, 53 female).  ...  At ages 20 -22 years, participants' social networking website use and indicators of friendship quality on their web pages were coded by observers.  ...  Parent-reported delinquency, however, predicted a smaller number of individuals posting connection comments. High support of friends on web page.  ... 
doi:10.1037/a0017420 pmid:20053005 pmcid:PMC2855302 fatcat:qhsirje5r5g6vgg6jacbt6wzsa
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