What the data for this category looks like
Investment research data for tourist attractions covers ticket settlement data from official operation backends, annual public disclosure documents from local cultural and tourism departments, facility inspection records from scenic spot operation and maintenance systems, and tourist review data from third-party public opinion platforms. Update rhythm follows multiple levels: passenger flow and revenue data are synced in real time, operation and maintenance logs are archived daily, tourist profiles are updated monthly, and cultural and tourism department public documents are released quarterly or annually. Document structures include structured passenger flow reports, semi-structured facility maintenance reports, and unstructured tourist review texts. Fields include scenic spot code, statistical cycle, instantaneous maximum carrying capacity, daily reception passenger trips, and ticket unit price. Units are respectively string, YYYY-MM-DD format date, person/square meter, passenger trips, yuan.
What constraints these characteristics impose on the "citation source and traceability" link
Multi-source, multi-update-cycle data requires the traceability system to adapt to different data lifecycles. Real-time passenger flow and revenue data must be associated with real-time interface request IDs and return timestamps, and cannot rely on upload times of static documents. Structured report data must be bound to the system ID and statistical cycle of report generation, to ensure the original generation task can be located during traceability. Unstructured tourist review texts must be associated with the specific review's publishing platform, ID, and publishing time, to avoid confusion of review content from different periods. Scenic spot data also includes highly compliance-focused fields such as carrying capacity and facility status. During traceability, official authorization qualification of the data source must be additionally verified, to prevent citation of non-compliant data that has not been publicly disclosed.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 8-12 entries | Scenic spot investment research data includes multi-dimensional reports and scattered reviews. Too many recalls will cause redundant context, too few will fail to cover core indicators |
similarity threshold | 0.75-0.85 | The field standardization level of scenic spot data is relatively high. A threshold that is too low will introduce irrelevant operation and maintenance logs or public opinion content, while a threshold that is too high will fail to recall the same type of passenger flow statistical data |
traceability link validity period | Real-time data: 1 hour, static documents: 30 days | Different update cycle data has different validity periods. Real-time data requires immediate availability of traceability links, while static public documents can retain a longer validity period |
document chunk length | 800-1200 characters | Scenic spot structured reports are mostly short tables, and semi-structured reports are mostly segmented descriptions. This length ensures that complete statistical logic is retained after chunking |
citation source verification switch | Enabled | Scenic spot data involves compliance requirements. Enabling this switch can automatically filter non-compliant data from unauthorized sources |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large-scale operation and maintenance reports of scenic spots take a long time to parse, and the default threshold is not sufficient for complete parsing |
The parameter values provided on this page are all conventional recommendations, used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: Unauthorized third-party public opinion content appears in knowledge base recall results, and the original publishing link cannot be viewed. Cause: The citation source verification switch is not enabled, and the whitelist range of official data sources is not configured.
- Phenomenon: The text content extraction component cannot extract the
instantaneous maximum carrying capacityfield from knowledge base citations, and there is no corresponding extraction option in the component parameter list. Cause: The structured data parsing function of the knowledge base is not enabled, and only the general text parsing mode is enabled, which cannot recognize the fields of structured reports. - Phenomenon: The number of recalled scenic spot data exceeds the preset limit, and filtering by statistical cycle is not possible. Cause: The
recall countparameter is not configured, and no retrieval filtering condition for statistical cycle is added.
How to confirm the configuration is complete
- Perform a search for scenic spot passenger flow data, check the source tags of the returned results, and confirm that all results come from the configured official data source range.
- Call the text content extraction component, pass in a knowledge base citation containing a structured report, and confirm that the preset scenic spot-related fields can be extracted.
- Adjust the recall-related parameters, search for the same keyword, and confirm that the number of returned results matches the configuration rules.
- Verify the access status of the traceability link, and confirm that the validity of the link matches the update cycle of the corresponding data.
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.