[PDF] Top 20 User Demographics and Language in an Implicit Social Network
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User Demographics and Language in an Implicit Social Network
... We obtained a random sample of videos by con- sidering all the videos whose YouTube ID has a spe- cific prefix 8 . From those, we collected the profiles of the users whose commented on the videos. In total, we extracted ... See full document
11
User Expertise Modelling Using Social Network Data
... new user to the SNS and connected ...a user, ...the user, with a focus on language ...called Language and Social Relation-based Factor Graph Model (LSR-FGM), is proposed to ... See full document
161
RESEARCH ON PERSONALIZED RECOMMENDER SYSTEMS BASED ON MATRIX FACTORIZATION.
... of social network and e-commerce, the research of Recommender Systems becomes more and more ...natural language solution tool to overcome the information ...the user in order ...In ... See full document
8
Predicting Twitter user socioeconomic attributes with network and language information
... of social media users such as occupation and income is an important problem in computational social ...that language features can reliably predict socioe- conomic attributes on Twitter, employing ... See full document
6
The Role of Dialogic Teaching in Fostering Critical Literacy in an Urban High School English Classroom
... a social network application that collects user data from social media plat- forms, for performing business analysis or providing ...third-party social applications, so that sensitive ... See full document
114
Predicting Twitter User Demographics from Names Alone
... per user, which is often time consuming or expensive to ...or network data for each user may require prohibitively many Twitter API ...inferring demographics based on the user’s name and ... See full document
7
Content Analysis in Social Network Analysis using Sentiment Analysis
... Mostly current news alerts updates, breaking news political debates and government policy are also posted and analysed on SN sites. It allows users to express their views be it positive, negative, neutral or emoticons. ... See full document
6
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces
... online social network to predict demographics, but there is little focusing on the social behavior in a physical grouping context, the focus of this ...the social relationship in ... See full document
21
Inferring Perceived Demographics from User Emotional Tone and User Environment Emotional Contrast
... in social net- works using a controlled/interventional ...unexplored user properties, and trained machine learning models to predict those properties for a large sample of Twit- ter ...their network ... See full document
12
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
... and implicit user-user, item-item, and user-item couplings (Cao 2015; ...involves user couplings and item couplings into ...integrates user/item metadata and their relations into ... See full document
8
Use of Social Network Sites Depending on the Country of Origin of the Social Network Site User
... other social factors to use private SNSs and statements regarding the use of private SNSs do not have a significant correlation ...all social factors. The social factors explain a kind of ... See full document
19
Exploring Smartphone Users’ Social Information Behavior
... of social network services (SNS) grows, users’ online behavior is increasingly being affected by SNS ...for social connection, provides an increasingly important communication channel in facilitating ... See full document
7
An Adaptive Recommendation Method Based on Small-World Implicit Trust Network
... Trust has been introduced by researchers as a solution to the sparsity problem. O’Donovan et al. [12] propose the profile-level and item-level trust models and show that these trust models can improve the accuracy of ... See full document
8
Hospital Information Sharing based on Social Network Web
... many social interactions in Hospital, between medical patients, doctors, nurses, and other people in ...Hospital. Social interaction in that community can be managed into a social network ... See full document
7
Learning a Language and Studying Content in an Additional Language: Student Opinions
... target language may be negatively influencing their attitude towards the ...a language and content at the same time is not an effective way to learn ...about language learning and learning content in ... See full document
7
Prediction of User Behavior Pattern in Multimedia Social Network
... It is likewise advantageous for clients to get to computerized content in MSNs with a substantial video record. In the meantime, the cooperation among client and client, client and framework is expanding. Hence, today ... See full document
10
A New Approach to Travel Recommendation using Dynamic Topic Model and Matrix Factorization
... specific user profiles or attributes ...detected user profiles are informative and effective for travel recommendation—especially providing a promising aspect for ...the demographics of individual ... See full document
8
Index Terms- E-learning, Personalization, Social Interactivity, Social Networking Sites (SNS), Social Presence.
... The increased integration of Information Communication and Technology (ICT) in everyday life has increased the mobility of students and their need for a more flexible, adaptable and dynamic education system. The growing ... See full document
11
Clouds and Web2 0 II: Case Study and Tutorial
... And you can query FaceBook for social network information, user metadata.... Using The JavaScript API •.[r] ... See full document
61
Implicit Rating and Filtering
... that implicit ratings have great potential but their effectiveness remains ...technologies implicit rating may first be combined with existing rating systems to form a hybrid ...use implicit data as ... See full document
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