Social network data to alleviate cold-start in recommender system: A systematic review
LAG Camacho, SN Alves-Souza - Information Processing & Management, 2018 - Elsevier
Recommender Systems are currently highly relevant for helping users deal with the
information overload they suffer from the large volume of data on the web, and automatically …
information overload they suffer from the large volume of data on the web, and automatically …
[PDF][PDF] Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence.
With the advent of new technology paradigm, SMAC (Social media, Mobile, Analytics and
Cloud) the information network generates an infinite ocean of data spreading faster and …
Cloud) the information network generates an infinite ocean of data spreading faster and …
Multirelational social recommendations via multigraph ranking
Recommender systems aim to identify relevant items for particular users in large-scale
online applications. The historical rating data of users is a valuable input resource for many …
online applications. The historical rating data of users is a valuable input resource for many …
[图书][B] Matching Voters with Parties and Candidates: Voting Advice Applications in Comparative Perspective
Voting Advice Applications–VAAs–have become a widespread online feature of electoral
campaigns in Europe, attracting growing interest from social and political scientists. But until …
campaigns in Europe, attracting growing interest from social and political scientists. But until …
A novel sentiment analysis of social networks using supervised learning
M Anjaria, RMR Guddeti - Social Network Analysis and Mining, 2014 - Springer
Online microblog-based social networks have been used for expressing public opinions
through short messages. Among popular microblogs, Twitter has attracted the attention of …
through short messages. Among popular microblogs, Twitter has attracted the attention of …
Event detection in twitter microblogging
The millions of tweets submitted daily overwhelm users who find it difficult to identify content
of interest revealing the need for event detection algorithms in Twitter. Such algorithms are …
of interest revealing the need for event detection algorithms in Twitter. Such algorithms are …
The effect of voting advice applications on political knowledge and vote choice
In many countries with multiparty systems, a decline in class voting has increased volatility
and the need for comprehensive information about the political landscape among voters …
and the need for comprehensive information about the political landscape among voters …
Dynamic profiles using sentiment analysis and twitter data for voting advice applications
Nowadays, political campaigns combine traditional media channels with social media
platforms, opening new and promising possibilities for parties and candidates looking for …
platforms, opening new and promising possibilities for parties and candidates looking for …
An iterative expert survey approach for estimating parties' policy positions
K Gemenis - Quality & Quantity, 2015 - Springer
This article introduces the iterative expert survey approach in estimating parties' policy
positions. Methodologically, the proposed approach is based on the tradition of …
positions. Methodologically, the proposed approach is based on the tradition of …
Using open government data to facilitate the design of voting advice applications
D Buryakov, M Kovacs, V Kryssanov… - … Conference on Electronic …, 2022 - Springer
In the process of statement selection for online voting advice applications (VAAs) a
considerable amount of time is spent for analyzing the domestic and foreign policies of a …
considerable amount of time is spent for analyzing the domestic and foreign policies of a …