What the data for this category looks like
Home goods research report data comes from brokerage light manufacturing industry research institutes, domestic home goods industry associations, and publicly disclosed research materials from leading home goods brands. Update frequency fluctuates with industry milestones. Industry tracking reports are released concentratedly after spring home goods fairs and autumn soft furnishing fairs. Leading brand revenue data is updated at quarter end. Special analysis documents are published when raw material prices experience sharp fluctuations. Document structures include publishing organization identifier, release date, covered subcategories, core market data, competitive landscape analysis, and risk warning fields. Some documents include specific values for raw material unit prices and revenue by channel. Category-specific units include yuan/kilogram, yuan/cubic meter, yuan/set, and similar units.
Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall
Scattered data sources, concentrated update nodes, category-specific units, and structured tables in home goods research reports create multiple constraints for retrieval and recall. Diverse data sources lead to significant differences in document formats. Nested raw material price tables are easily missed by standard text parsing, so structured parsing must be enabled. Concentrated update nodes around industry fairs and quarter end cause batch uploads in short timeframes, increasing index pressure. The index refresh trigger threshold must be adjusted to address this. Category-specific units such as yuan/kilogram and yuan/set are easily confused with units from other light industry categories. Unit matching verification must be added during the recall phase to improve result relevance. Some core data is scattered across multiple paragraphs. The context recall window length must be adjusted to avoid truncating key information.
Recommended Configuration Parameters
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_ENABLE_STRUCTURE | Enabled | Home goods research reports contain nested raw material price tables. Enabling this preserves structured data and prevents information loss |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Some long-term industry tracking research reports have lengthy content. Sufficient parsing time must be reserved to complete full content extraction |
RECALL_TOP_N | Top 8 results | Home goods have many subcategories. Enough results covering different brands and channels must be returned to avoid missing core analysis |
SIMILARITY_THRESHOLD | 0.72–0.78 | Keywords in home goods research reports have high semantic relevance. This range balances irrelevant result filtering and effective information recall |
CONTEXT_WINDOW_LENGTH | 800–1200 characters | Core analysis of some research reports is spread across adjacent paragraphs. This length fully preserves relevant context |
INDEX_REFRESH_INTERVAL | Hourly | New research reports are uploaded in batches during industry fair seasons. Regular index refresh ensures the timeliness of retrieval results |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: Retrieval returns results with low semantic relevance to query keywords, and some results do not mention home goods-related content. Cause: No category-specific similarity threshold is set, or the threshold is set incorrectly, leading to either filtering valid information or introducing irrelevant results.
- Phenomenon: After batch uploading research reports, some long documents fail to parse, and the interface displays the
PARSE_FAILEDstatus code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. Parsing of lengthy research reports times out, causing task failure. - Phenomenon: Recall results include research report content from non-home goods categories. Cause: Unit matching verification is not enabled, and home goods-specific units such as yuan/kilogram are confused with unit identifiers from other light industry categories.
How to Verify Correct Configuration
- Upload a home goods research report that contains raw material price tables. Check if parsed structured fields are fully preserved, and confirm that the
PARSE_ENABLE_STRUCTUREconfiguration is active. - Simulate batch uploads of multiple new research reports during fair season. Check if retrieval results include newly published documents after index refresh, and confirm that the
INDEX_REFRESH_INTERVALconfiguration matches scenario requirements. - Enter queries containing home goods-specific keywords such as "sponge price" and "brick-and-mortar stores". Adjust the value range of
SIMILARITY_THRESHOLD, observe changes in recall result relevance, and determine the threshold adapted to the current scenario. - Retrieve a lengthy quarterly tracking research report. Check if returned context covers core analysis from adjacent paragraphs, and confirm that the
CONTEXT_WINDOW_LENGTHconfiguration is appropriate.
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.