What the Data for This Category Looks Like
Advertising and marketing research report data primarily comes from industry think tanks, media agencies, and brand marketing review reports. Update cycles align with regular report release schedules and real-time campaign data. Most documents are structured PDF reports, including channel campaign data, audience profile analysis, and marketing campaign review content. Fields include campaign channel name, impressions, clicks, conversions, and cost per acquisition. Units are respectively counts, thousand impressions, yuan per conversion, and yuan per visitor. Some research reports include CSV attachments of original campaign logs, containing metadata such as timestamps and placement locations.
Constraints Imposed on Model Integration and Configuration
The multi-source nature and diverse fields of advertising and marketing research reports require model integration to support mixed processing of structured data and unstructured text. Corresponding parsing and retrieval rules must be configured. The high-frequency updates of real-time campaign data require configuring timed synchronization intervals that match the data update cycle. Differences in field unit formats require configuring field mapping rules to unify fields and units recognizable by the model. Embedded table data in research reports requires configuring segment length rules for long text splitting to avoid truncating critical campaign data. Frequent occurrence of specialized terminology requires configuring terminology recognition adaptation rules for the model to ensure accurate parsing of professional parameters.
Setting Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Advertising and marketing research reports contain extensive long text with tables. Segments of 800–1200 characters preserve the information density of individual segments and avoid truncating critical campaign data and analytical logic |
recallTopK | Top 5–8 results | Core data and analytical content of advertising and marketing research reports are concentrated in leading paragraphs. Excessive recall distracts the model from core information |
similarityThreshold | 0.75–0.85 | Advertising and marketing research reports contain extensive specialized terminology and industry-specific parameters. A threshold that is too low leads to irrelevant retrievals, while a threshold that is too high misses relevant valid content |
syncInterval | 1800–3600 seconds | Real-time campaign data typically updates every 30 minutes to 1 hour. Matching the synchronization interval to the data update frequency ensures data timeliness |
fieldMapping | Map original report fields to standardized fields | Advertising and marketing research reports include fields such as impressions, clicks, and cost per acquisition. Original field names must be unified to standardized fields recognizable by the model |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Some advertising and marketing research reports include multi-page table data. A 600-second timeout allows complete parsing and avoids parsing failures |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: A locally deployed model is selected in the model selection interface, but a different preset model is used during actual conversations. Cause: The access address and unique identifier of the local model are not correctly configured. The platform does not bind the deployment parameters of the local model, so the platform falls back to the preset model.
- Phenomenon: A 504 status code is returned when parsing advertising and marketing research reports. Cause: The value of
PARSE_FILE_TIMEOUT_SECONDSis not adjusted. The default timeout duration is insufficient to parse research reports with multi-page tables. - Phenomenon: After configuring field mapping, the model cannot correctly recognize the units of campaign data. Cause: Unit fields are not specified in the field mapping rules, leading the model to confuse units for monetary amounts and impressions.
How to Verify Successful Configuration
- Navigate to the model integration management interface, verify the configured access address and secret key of the local model, and confirm they match the locally deployed model parameters.
- Upload a single advertising and marketing research report to trigger a document parsing task. Check the extracted fields and units after parsing to confirm the field mapping configuration has taken effect.
- Create a test application, enter a query related to the core data of the research report, and confirm the model returns results containing correct campaign data and analytical content.
- View the running logs of the timed synchronization task to confirm the task executes automatically at the configured interval, with no timeout or connection failure errors.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.