Mobile Agents for Location-Aware Advertising in Mobile Wireless Environments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Advertisements surround our daily lives and are becoming increasingly ubiquitous.However, unless the advertisements are highly relevant to the consumer, she is likely not to pay full attention to it.In this paper, we propose a novel mobile agentbased system where businesses can better understand and communicate with the consumer.Meanwhile, this system also helps the end user reduce information overload by helping her filter out unnecessary information and only show information that is relevant.The proposed system is a marked departure from the traditional client-server architecture commonly found in current e-commerce systems.It provides novel ways for cellular service providers to compete, and businesses to acquire new customers.In this paper, we will address all the challenges associated with such an evolutionary system.We will also provide some sample scenarios, along with an architectural design for our proposed system.
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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 | 0.002 | 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 | 0.002 |
| Open science | 0.001 | 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 it