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Information passing in online recommendation

Jia Huang, Xiaohua Hu
2013 Proceedings of the 1st workshop on User engagement optimization - UEO '13  
One's Information pass rate is significantly but weakly correlated with his follower number RQ3: Does receiving more recommendations increase the likelihood of reading?  ...  tutorial) • Most existing studies focus on revenue maximization • To understand social influence deeply, to inspire social-based recommendation Research questions • In general, does social influence  ...  Future work • Once the threshold is passed, the receiver will have no more interest in the recommended book: Linear Threshold Model (Granovette , 1976 ).  ... 
doi:10.1145/2512875.2512876 dblp:conf/cikm/HuangH13 fatcat:ht4abq2wfneeplp363b2fqj7q4

Are opinion leaders more satisfied? Results of a SEM model about the relationship between opinion leadership and online customer satisfaction

Akos Nagy, Ildikó Kemény, Krisztián Szűcs, Judit Simon, Viktor Kiss
2017 Society and Economy  
opinion giving and opinion passing.  ...  By doing so, their prior expectations are in relation to the true customer value of online stores and products.  ...  I agree with the online review/recommendation. 2. Information from the online review/recommendation contributed to my knowledge of discussed product/service. 3.  ... 
doi:10.1556/204.2016.004 fatcat:ugn5pzzcargvxd4uhyz5jyrf44

Encouraging passive members of online brand communities to generate eWOM Based on TAM and Social Capital Theory

Liuliang Yuan, Xiaozhao Deng, Weijin Zhong
2021 IEEE Access  
Finally, we propose specific recommendations for online brand community operators and members.  ...  An internet questionnaire survey, in which 600 passive users of an online brand community were recruited in China, was conducted to validate hypothetical model with structural equation modeling using AMOS  ...  Opinion passing refers to recommending the community or the information in the community to others who are not in the community and who are considered as needing the information.  ... 
doi:10.1109/access.2021.3050162 fatcat:s4qsmxncwrev5dfpf7sqbzrxoy

A generalized model via random walks for information filtering

Zhuo-Ming Ren, Yixiu Kong, Ming-Sheng Shang, Yi-Cheng Zhang
2016 Physics Letters A  
information for different popular objects to toward promising precision of the recommendation. * Corresponding authors.  ...  Furthermore, we analyze the generalized model with single and hybrid of degree information on the process of random walk in bipartite networks, and propose a possible strategy by using the hybrid degree  ...  Introduction Over the last decade, the rapid growth of information in both online and offline leads to an information overload problem [1, 2] .  ... 
doi:10.1016/j.physleta.2016.06.009 fatcat:lamipdwqrzcz3nuaqioup2yawm

Influences on TV Viewing and Online User-shared Video Use: Demographics, Generations, Contextual Age, Media Use, Motivations, and Audience Activity

Beverly A. Bondad-Brown, Ronald E. Rice, Katy E. Pearce
2012 Journal of Broadcasting & Electronic Media  
Overall, the basic U&G motivations also apply to the new online media world, but differ in levels and influence.  ...  Further, this study explores the form and role of audience activity through online usershared video recommendations (type, channel, and social relation).  ...  Older generation members-those in the Silent or GI Generations-may be more likely to turn to TV for information and to pass the time.  ... 
doi:10.1080/08838151.2012.732139 fatcat:hjik27gfwnaafphhoolfgyalae

Exploring social commerce adoption in China: A uses and gratification perspective

Xue Yang, Guo-xin Li
2014 2014 International Conference on Management Science & Engineering 21th Annual Conference Proceedings  
As a new e-commerce paradigm, social commerce has resulted from consumers relying on the online recommendations of friends and acquaintances.  ...  In addition, perceived gratification from information seeking has a stronger influence on consumers' social commerce intentions in females than in males, while perceived gratification from expressive information  ...  Second, the research only reported the different gratifications between female and male users of information seeking and expressive information sharing, and future research should explore other gratifications  ... 
doi:10.1109/icmse.2014.6930277 fatcat:nlr3komd65fe3c6eha6k3dmvoe

Innovative Research on Collaborative Design of Blended English Teaching in Higher Vocational Colleges Based on Digital Technology

Hua Huang, Jieman Wang, Tongguang Ni
2022 Scientific Programming  
At the same time, blended recommendation of teaching resources is implemented based on collaborative filtering algorithm, thus developing a matching algorithm in light of the above dynamic adjustment.  ...  Therefore, in this paper, collaborative design is carried out for blended English teaching platform in higher vocational colleges, where students' cognitive ability and difficulty of teaching resources  ...  in recommendation algorithm (6) Obtain recommended dependence data (7) Call the recommendation algorithm process to transfer recommendation dependent data and user information (8) Recommend the algorithm  ... 
doi:10.1155/2022/9982680 fatcat:vwy4avpldvcw5fuumtaouowycq

Course Recommendations in Online Education Based on Collaborative Filtering Recommendation Algorithm

Jing Li, Zhou Ye, Wei Wang
2020 Complexity  
Each course is a separate online classroom; the teacher will publish online class information in advance, and students can purchase to get classroom number and password information online.  ...  In this paper, a personalized online education platform based on a collaborative filtering algorithm is designed by applying the recommendation algorithm in the recommendation system to the online education  ...  In the original data, there are four-course results, where only Pass and Distinct are considered as Pass and Fail and Withdraw are considered as Fail. e set of passed students is then divided into four  ... 
doi:10.1155/2020/6619249 fatcat:gnvblysc3vbrhial7qq6astg2i

An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model

Yongyan Fan, Jing Zhang, Dingli Zu, Hongyu Zhang
2021 International Journal of Emerging Technologies in Learning (iJET)  
To solve this problem, this paper designs an automatic recommendation method of optimal courses for online math education platforms based on Bayesian model.  ...  automatic recommendation of courses.  ...  passed by the neighboring nodes and the condition probability table stored in the node.  ... 
doi:10.3991/ijet.v16i13.24039 fatcat:io3i7zizavcp7exeszi5emuzey

Can Opinion Leader Influences the Purchase Intension of Online Consumer

Fei Meng
2016 International Journal of u- and e- Service, Science and Technology  
With the role which opinion leader plays in e-WOM(word of mouth) generation and communication comes more and more important, its influence on online consumer purchase intension become a hot issue for industry  ...  Based on the concept model constructed and scale designed in our previous studies, a questionnaire is used in this paper for data collection.  ...  Questionnaire Design (1) Basic Information and Online Activities The design of basic information questions refers to survey of Internet users in the "China Internet Development Statistics Report Network  ... 
doi:10.14257/ijunesst.2016.9.1.38 fatcat:bdnveo4yv5g43i6hjteahorr6i

Online Guide to U.S. Map Resources: Take the Survey—Get on the Map!

Christine Kollen
2017 DttP Documents to the People  
A decade has passed since the third edition was published, and there have been many changes in how libraries collect, preserve, provide access to, and administer maps and other cartographic resources.  ...  Map Resources, produced by the American Library Association's Map and Geography Round Table (MAGERT) in 1986, 1990, and 2006, provides detailed directory information for map collections and cartographic  ...  In 2014, a project planning team of the Map and Geospatial Information Round MAGIRT's Executive Board accepted the planning group's recommendations and, in July 2016, the Online Guide to U.S.  ... 
doi:10.5860/dttp.v45i2.6385 fatcat:klteiyqjzbgjvb5dpaguxzk4vi

Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service [chapter]

Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun, Shiping Chen
2020 Lecture Notes in Computer Science  
In this paper, we propose a deep cross attention recommendation model to provide online users with personalized resources based on users' profile and historical online behaviours.  ...  However, information overload challenges such personalized online learning services.  ...  The embedding vectors are then passed into the DNN network and crossing network separately for mining latent information and high-order feature interactions.  ... 
doi:10.1007/978-3-030-52240-7_31 fatcat:4if4j4umvzdfzi4t7xzx46yzbi

A Study on Information Technology Freelancer Matching with Exploiting Blockchain in Gig Economy

Jinho Lim, Kwansik Na, Seungcheon Kim
2021 Wseas Transactions on Business and Economics  
In this paper, we propose a freelancer matching of a recommended recruitment system in a situation in which the freelance type employment market defined by peer-to-peer transactions, mutual evaluation  ...  In order to increase the reliability and accuracy of recommendation through reputation, we propose a reputation ranking technique for reputation system, which is a kind of personalized recommendation system  ...  Career PASS is developed to serve to college student the integrated qualification management and job recommendation solutions.  ... 
doi:10.37394/23207.2021.18.46 fatcat:bbjgamgbm5cw3hebwnm7r53g2i

Racial equity in local food incentive programs: Examining gaps in data and evaluation

Kristen Giombi, Lacy Stephens
2022 Journal of Agriculture, Food Systems, and Community Development  
In this commentary, the authors provide recommendations for improving data collec­tion and evaluation of these local food incentive bills in order to inform and advance more equitable farm-to-school policy  ...  Since 2002, over 60 local food procurement incentive bills for schools and early care sites have been introduced in state legislatures, and 23 have passed.  ...  In this commentary, the authors provide recommendations for improving data collec- tion and evaluation of these local food incentive bills in order to inform and advance more equitable farm-to-school policy  ... 
doi:10.5304/jafscd.2022.112.002 fatcat:6vwa3e2rpfhcxeti2ik5cah7te

Optimization Analysis and Implementation of Online Wisdom Teaching Mode in Cloud Classroom Based on Data Mining and Processing

Jing Gao, Xiao-Guang Yue, Lulu Hao, M. James C. Crabbe, Otilia Manta, Nelson Duarte
2021 International Journal of Emerging Technologies in Learning (iJET)  
It not only highlights the core position of personalized curriculum recommendation in the field of online education, but also makes the cloud classroom online teaching mode more intelligent and meets the  ...  The traditional cloud classroom teaching mode has no personalized recommendation module and cannot solve an information over-load problem.  ...  After the verification is passed, the registration is successful. 2) Teacher information module design: The teacher information entered in the database is displayed in the module.  ... 
doi:10.3991/ijet.v16i01.18233 fatcat:d3abfrssz5bzlkdz2ykw2su5ui
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