Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Bibliographic record
Abstract
It is our great pleasure to welcome you to the International Workshop on Social, Adaptive and Personalized Multimedia Interaction and Access (SAPMIA 2010). This year's workshop is supported by several European Research Projects on State of the Art topics in Multimedia and attempts to provide a forum to disseminate work that explicitly exploits the synergy between multimedia content analysis, personalisation, and next generation networking and community aspects of social networks. This workshop attempts to present the new scenery in multimedia networking, as this is identified through the integration of multimedia content analysis techniques with information derived from users, networked communities, and context awareness, in a mission to present, discuss and develop new adaptation and personalization approaches from which users of multimedia can benefit. The call for papers attracted submissions from Asia, Canada and Europe. The program committee accepted 15 papers that cover a variety of topics, including interactive multimedia systems, adaptive browsing, and user interfaces, collaborative search, personalized access to multimedia content, robust and scalable multimedia content distribution, content-based recommendation, semantic technologies for multimedia content personalization and adaptation, and social multimedia applications. In addition, the program includes a keynote speech by Touradj Ebrahimi entitled QoE of video streaming in P2P/social networks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".