posted by user: mschedl || 3358 views || tracked by 15 users: [display]

LUC 2012 : International Workshop on Learning from User-generated Content


When Jun 30, 2012 - Jun 30, 2012
Where Edinburgh, Scotland
Submission Deadline May 7, 2012
Notification Due May 21, 2012
Categories    machine learning   information retrieval   multimedia   social media

Call For Papers

While the amount of user-generated content has been skyrocketing since the advent of social media and social networks, intelligent approaches to process and make sense of these huge masses of data produced by over a billion users are rather rare so far. Hence, we solicit innovative technical papers with a focus on user-generated content and addressing problems in the fields of machine learning, multimedia, or information retrieval. Also contributions that combine two or more of these fields are highly welcome. We invite authors to submit regular technical papers of up to 8 pages as well as short position or demo papers of 2-4 pages. Regardless of their category, submissions must follow the ACM author guidelines. Paper submissions must be original and not submitted to or accepted by any other conference or journal. All submissions to this workshop will be peer-reviewed by at least three Program Committee members. The review process will be double-blind. Proceedings will be released under a Creative Commons license.

Submissions tackling, for example, one of the following challenges are highly welcome:

Explore the usage of several types of social data, including ratings, reviews, tags, comments, hyperlinks, geo‐located data, linked data, multimedia items, and playlists.

Extract from these raw data several types of knowledge (users and data): relations, user opinions, user preferences, semantic relationships/description of multimedia objects, sentiment analysis, community detection

Exploit novel data mining and information retrieval techniques: expert finding, recommendation computation, similarity evaluation, network analysis, information visualization, multimedia retrieval, semantic indexing, evaluation of systems with implicit data from social media, social and human computation

Define new information search problems: context‐dependent recommendation, definition of key users, identification of relevant locations, cross‐domain multimedia recommendation, games and multimedia, cross‐modal social content analysis

Evaluate the benefits of such techniques: live users experiments, new off‐line evaluation methods

Related Resources

WNUT 2020   The 6th Workshop on Noisy User-generated Text (WNUT 2020)
WSDM 2021   14th ACM Conference on Web Search and Data Mining
U2BigData 2020   User Understanding from Big Data Workshop - in conjunction with IEEE Big Data 2020
JSE 2020   9th International Conference on Software Engineering and Applications
EdTech 2021   Cases on Technologies in Education From Classroom 2.0 to Society 5.0
MLDM 2021   17th International Conference on Machine Learning and Data Mining
ECIR 2021   European Conference on Information Retrieval
FAIML 2020-Ei Compendex & Scopus 2020   2020 2nd International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2020)
ICDM 2021   21th Industrial Conference on Data Mining
IUI 2021   ACM Conference on Intelligent User Interfaces