Timestamp Skip List for Blog Search Efficiency
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Solution Overview
Problem
Existing blog content search methods are inefficient due to the need to merge and filter through all inverted data blocks, leading to long search times and incomplete results when searching for content within a specified time segment.
Innovation Solution
A blog content search method that uses a timestamp skip list to directly skip to relevant inverted data blocks within a search time segment range, improving search efficiency and ensuring complete results by adding a timestamp indicating the last publication time of each article to the header of the inverted data blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If merging and determining are performed on each inverted data block to ensure complete search results, then search result completeness is improved, but search time increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-sorting inverted data blocks according to publication time sequences and pre-calculating time range boundaries. This allows the system to directly access and merge only the relevant data blocks that fall within the search time segment, rather than processing all inverted data blocks. The preliminary organization of data enables efficient time-range filtering while ensuring complete results are obtained from the appropriate blocks.
Solution Approach 2:
The patent segments the search process by dividing inverted data blocks into different time-range segments. Each inverted data block is associated with specific publication time ranges, allowing the system to segment the search space and only process segments that are relevant to the query. This segmentation eliminates the need to merge and filter all data blocks, reducing search time while maintaining result completeness.
2Measurement precision
If all inverted data blocks are processed to ensure accurate time filtering, then search accuracy is improved, but search efficiency deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-organizing inverted data blocks with their associated publication time ranges and sorting them chronologically. This preliminary organization allows the system to quickly identify which data blocks contain content within the search time segment without having to process or filter all blocks. The pre-sorted structure enables direct access to relevant blocks, maintaining time filtering accuracy while dramatically improving search efficiency.
Solution Approach 2:
The patent applies local quality by assigning specific time-range properties to each inverted data block based on its content. Each block is characterized by its publication time range, allowing the system to selectively process only those blocks with the appropriate time properties for the given query. This local time-range attribution enables accurate filtering without the overhead of processing unrelated blocks.
3Speed
If the search stops after finding a certain amount of results, then search speed is improved, but result completeness is compromised
Solution Approach 1:
The patent applies preliminary action by pre-sorting inverted data blocks according to publication time and pre-determining which blocks fall within the search time segment. This allows the system to know in advance how many relevant blocks exist and to process all of them systematically. The preliminary organization prevents premature termination of the search, ensuring complete results are obtained while maintaining efficient processing through targeted block selection.
4Reliability
If merging operations are performed on all inverted data blocks to ensure comprehensive coverage, then search thoroughness is improved, but processing time increases
Solution Approach 1:
The patent segments the inverted data blocks into time-range groups and performs merging operations only on segments that are relevant to the search query. By dividing the data space into time-based segments and selectively processing only those segments that overlap with the search time segment, the system maintains thorough search coverage while significantly reducing the number of merging operations required.
Solution Approach 2:
The patent extracts and processes only the relevant inverted data blocks that contain content within the search time segment, rather than merging all blocks. The system identifies and extracts the specific blocks that need to be merged based on time-range matching, eliminating unnecessary merging operations on blocks that cannot contain relevant results. This extraction approach maintains search thoroughness while reducing processing time.
Data Source
AI summary
A blog content search method and system are provided. The blog content search method may include receiving a search request. The search request may include a search term and a search time segment range. The method may include searching for an inverted data block of the search term from a database. Based on a timestamp skip list of the inverted data block and the search time segment range, the inverted data block may be skipped, and instead, another inverted data block may be identified that includes data that meets a condition of the search request. The identified inverted data block may be used for performing a merging. The search result may be obtained based on the result of the merging.