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    LUC 2012 - ICML Workshop on Learning from User-generated Content (LUC)

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    Website icml.cc/2012/workshops/ | Want to Edit it Edit Freely

    Category LUC 2012

    Deadline: May 07, 2012 | Date: June 26, 2012-July 01, 2012

    Venue/Country: Edinburgh, U.K.

    Updated: 2012-03-24 09:03:00 (GMT+9)

    Call For Papers - CFP

    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

    Topics of Interest

    Social Media and Network Analysis

    Social Media Mining

    Influential User Detection and Analysis

    Information Extraction and Knowledge Harvesting from User-generated Data

    Information Visualization in Social Media

    Multimedia Retrieval

    Tagging and Games with a Purpose

    Semantic Content Analysis and Indexing

    Opinion Mining and Sentiment Analysis

    Large-Scale Similarity Measurement, Scalability Issues and Solutions

    Evaluation, Mining of Ground Truth and Data Collections

    Semantic Web, Linked Data, Ontologies, Semantics and Reasoning

    Novel Machine Learning Algorithms Tailored to Social Media

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.