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Social media mining and knowledge discovery

Jinhui Tang, Dacheng Tao, Guo-Jun Qi, Benoit Huet
2014 Multimedia Systems  
This special issue includes five papers focusing on different aspects of social media mining and knowledge discovery.  ...  and viewer ratings, which offer an unprecedented opportunity for studying novel theories and technologies for social media analysis and mining.  ...  This special issue includes five papers focusing on different aspects of social media mining and knowledge discovery.  ... 
doi:10.1007/s00530-014-0423-8 fatcat:y7wka2gc3nht3bwq6ojubauirq

Ranking music data by relevance and importance

Maria M. Ruxanda, Alexandros Nanopoulos, Christian S. Jensen, Yannis Manolopoulos
2008 2008 IEEE International Conference on Multimedia and Expo  
In this context, the ranking of the retrieved music is an important issue. This paper proposes a music ranking method capable of flexibly fusing the music based on its relevance and importance.  ...  The notion of authoritative music among relevant music is introduced, and social media mined from the Web is used in an innovative manner to determine both the relevance and importance of music.  ...  These systems rank the results of music search based on their relevance, quantified by a music similarity measure.  ... 
doi:10.1109/icme.2008.4607493 dblp:conf/icmcs/RuxandaNJM08 fatcat:ky3sg7cthzcylo3a6am3dxrbvm

Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists

Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2013 Italian Information Retrieval Workshop  
This paper presents Play.me, a system that exploits social media to generate personalized music playlists. First, we extracted user preferences in music by mining Facebook profiles.  ...  Next, given this preliminary playlist based on explicit preferences, we enriched it by adding new artists related to those the user already likes.  ...  Conclusions and Future Work In this work we presented Play.me, a system for building music playlists based on social media.  ... 
dblp:conf/iir/MustoNSLG13a fatcat:ksf6jeyg7vegpoj2aj6vdjgfvm

An Analysis of the Sustainable Tourism Value of Graffiti Tours through Social Media: Focusing on TripAdvisor Reviews of Graffiti Tours in Bogota, Colombia

Hwayoon Seok, Yeajin Joo, Yoonjae Nam
2020 Sustainability  
This study attempts to analyze the value of graffiti tours from the perspective of sustainable tourism by examining actual reviews by social media users using text mining and social network analysis.  ...  The text mining technique indicates that "artist," "history," "political," "culture," "social," "city," "background," "great," "recommend," "excellent", and "worth," are frequently used keywords for the  ...  Therefore, we intend to measure the sustainability of graffiti tours by analyzing the online reviews on social media based on the three perspectives of sustainable tourism.  ... 
doi:10.3390/su12114426 fatcat:cz2zfcwk7zekdp2epneqxoqy6a

Semantics-Empowered Social Computing

Amit Sheth, Meenakshi Nagarajan
2009 IEEE Internet Computing  
Using Background Knowledge to Analyze User Comments In recent work, 4 we implemented a content-analysis system that mined music-artist popularity from user comments on MySpace artist pages.  ...  Now, consider the following scenario in which an event-tracker system maintains a knowledge base of music events (including dates, times, and locations) along with artists and their work; it also continually  ... 
doi:10.1109/mic.2009.21 fatcat:xbb4wdcne5hyjgytpt4eb3stfm

Five Approaches To Collecting Tags For Music

Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet
2008 Zenodo  
ACKNOWLEDGEMENTS We would like to thank our anonymous reviewers who had a large impact on this paper. This work is supported by NSF IGERT DGE-0333451 and NSF grant DMS-MSPA 062540922.  ...  This confirms the intuition that systems based on web documents and social tags are influenced by popularity bias, whereas content-based autotagging systems are not.  ...  In Section 3, we describe one implementation of a system for each approach and evaluate its performance on a tag-based music retrieval task.  ... 
doi:10.5281/zenodo.1416803 fatcat:3qzgudbreba3hccjiaw63fpjpm

Mining microblogs to infer music artist similarity and cultural listening patterns

Markus Schedl, David Hauger
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
We propose and evaluate four co-occurrence-based methods to compute artist similarity scores.  ...  This paper aims at leveraging microblogs to address two challenges in music information retrieval (MIR), similarity estimation between music artists and inferring typical listening patterns at different  ...  Section 2 reviews related literature on microblog mining and text-based similarity.  ... 
doi:10.1145/2187980.2188218 dblp:conf/www/SchedlH12 fatcat:5cyg6k6lt5eq3fs6lunu5tykea

SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks

Xin Jin, Cindy Xide Lin, Jiebo Luo, Jiawei Han
2011 Proceedings of the VLDB Endowment  
In this demo, we propose SocialSpamGuard, a scalable and online social media spam detection system based on data mining for social network security.  ...  Business entities or public figures set up social networking pages to enhance direct interactions with online users. Social media systems heavily depend on users for content contribution and sharing.  ...  In this demo, we propose propose SocialSpamGuard, a scalable and online social media spam detection system based on data mining for social network security.  ... 
dblp:journals/pvldb/JinLLH11 fatcat:syec47lac5guzmsjp7akcf5bpa

Myusic: a Content-based Music Recommender System based on eVSM and Social Media

Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2013 Italian Information Retrieval Workshop  
This paper presents Myusic, a platform that leverages social media to produce content-based music recommendations.  ...  The results showed that 74% of users actually prefer recommendations computed by social mediabased profiles with respect to those computed by a simple heuristic based on the popularity of artists, and  ...  It implements a content-based recommender system based on eVSM, an enhanced version of classical VSM.  ... 
dblp:conf/iir/MustoNSLG13 fatcat:whvtw33jrncblgsgqdp24xsu5e

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media

Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, Huan Liu
2015 2015 IEEE International Conference on Data Mining Workshop (ICDMW)  
In this paper, we demonstrate system named Social Answer which can rank social media sites for user's query based on the content similarity of social media site and user's query using ensemble of search  ...  Social networking or social media sites are involved in our daily life.  ...  We demonstrated an interactive system Social Answer which ranks social media sites to users' question.  ... 
doi:10.1109/icdmw.2015.253 dblp:conf/icdm/DaniMHYL15 fatcat:agignhhq4fea7dizbsgl5kxuia

Multimodal social intelligence in a real-time dashboard system

Daniel Gruhl, Meena Nagarajan, Jan Pieper, Christine Robson, Amit Sheth
2010 The VLDB journal  
Ultimately, we seek to provide guidance on developing applications in a variety of domains that allow an analyst to rapidly grasp the evolution in the social landscape, and show how to validate such a  ...  We present this system as a grounding example of how to overcome the challenges of working with this data from social networks.  ...  Acknowledgements We thank our teammates on the SoundIndex project, without whom this work would not have been possible: Alfredo Alba, Varun Bhagwan, Julia Grace, Kevin Haas, Nachiketa Sahoo, and Tyrone  ... 
doi:10.1007/s00778-010-0207-5 fatcat:bysh4ib3cjfjbbzhxhuebda7gq

Enhancing Personal Recommendation System Using Familiarity Factor on Social Network

Rung-Ching Chen, Hendry, Lijuan Liu
2017 International Journal of Innovative Computing, Information and Control  
Social media has become one of the most popular web platforms, with an enormous user base. Many application systems use social media information to generate search results.  ...  A recommendation system is one of technologies that may have applications on social media. Numerous studies investigate recommendation systems by combining semantic web reasoning mechanisms.  ...  Moreover, we calculate the recommended items for user u for an unknown item i based on the user's history and social activity on social media.  ... 
doi:10.24507/ijicic.13.06.2025 fatcat:7jqfnoi2hvapvoiet4feeszawi

Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework

Markus Schedl, David Hauger, Julián Urbano
2013 Multimedia Systems  
As evaluation criteria we use precision and recall in an artist retrieval task as well as rank proximity.  ...  We show that collaborative chatter on music can be effectively used to develop music artist similarity measures, which are a core part of every music retrieval and recommendation system.  ...  Particularly focusing on social media music retrieval, Schedl proposes in [32] a standardized corpus of data on music listening behavior mined form microblogs.  ... 
doi:10.1007/s00530-013-0321-5 fatcat:dm7hmwwg5feclhryi74i4gsdlu

Towards Personalizing Classical Music Recommendations

Markus Schedl
2015 2015 IEEE International Conference on Data Mining Workshop (ICDMW)  
While fans of classical music were found to be underrepresented on social media and music streaming platforms, they constitute an important target group for music recommender systems.  ...  We therefore focus on this group of listeners and investigate a wide range of recommendation approaches and variants for the task of music artist recommendation.  ...  Abstract-While fans of classical music were found to be underrepresented on social media and music streaming platforms, they constitute an important target group for music recommender systems.  ... 
doi:10.1109/icdmw.2015.8 dblp:conf/icdm/Schedl15 fatcat:p7ihigaiozfazcu5cyiy7lwikq

Using Jwebminer 2.0 To Improve Music Classification Performance By Combining Different Types Of Features Mined From The Web

Gabriel Vigliensoni, Cory McKay, Ichiro Fujinaga
2010 Zenodo  
The labels that one might assign to a song are based not only on the song itself, but one's overall perception of an artist.  ...  "Social tags" are unstructured text labels assigned by non-expert users to an entity, such as a song, an album or the collected work of an artist.  ... 
doi:10.5281/zenodo.1416589 fatcat:dx27ivrsy5gblecrq2qmv6asyi
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