Access Log Storage by Keyword Extraction and Summary Generation
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Solution Overview
Problem
Users find it difficult to access desired websites from their access logs since they often cannot remember the time they visited those websites, making the logs ineffective for retrieval.
Innovation Solution
A method and apparatus that store access logs by generating summary information and determining priorities based on keyword inputs, using image or natural language processing engines to classify and store websites with similar content, allowing users to easily retrieve relevant websites by keyword, address, and priority.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If access logs are stored and organized by time, then the logs can be chronologically recorded, but users cannot easily retrieve desired websites because they don't remember the access time
Solution Approach 1:
The patent segments access logs by extracting keywords from website content and organizing logs based on these keywords rather than purely chronological order. This allows users to retrieve logs by semantic content rather than remembering specific timestamps, effectively segmenting the log retrieval process by topic relevance.
Solution Approach 2:
The patent introduces keyword extraction and summary information as an intermediary between the raw access log and user query. By generating summary information containing keywords from website content, the system mediates the retrieval process, allowing users to search by keyword rather than time, thus solving the retrieval effectiveness problem.
2Reliability
If all accessed websites are stored in the access log, then complete browsing history is recorded, but the complexity of managing and searching through the logs increases
Solution Approach 1:
The patent extracts essential information (keywords, summary content) from complete website data and stores only these extracted features in the access log. This selective extraction maintains the reliability of logging browsing history while reducing management complexity by storing condensed representations rather than full website content.
Solution Approach 2:
The patent transforms the storage parameters from raw website URLs and full content to extracted keywords and summary information. By changing the parameter representation from complete data to condensed metadata, the system maintains comprehensive logging capability while significantly reducing the complexity of log management and search operations.
3Ease of manufacture
If access logs are organized by time stamps, then chronological recording is simple, but users experience difficulty in locating specific websites without remembering exact access times
Solution Approach 1:
The patent makes the access log system multi-functional by implementing both chronological organization and keyword-based organization. The system can retrieve logs by time stamps for simple chronological access and by keywords for semantic search, providing universal access methods that cater to different user needs and improve ease of operation.
Solution Approach 2:
The patent performs preliminary action by pre-extracting keywords and generating summary information from website content during the logging process. This preliminary processing of data creates searchable metadata in advance, so when users need to retrieve logs, the system can immediately search by keyword without requiring users to remember timestamps or manually scan through chronological entries.
Data Source
AI summary
A method of storing an access log and an access log storing apparatus are provided. The method includes obtaining a keyword based on an input, determining a website related to the keyword based on access log information associated with a selected link, generating summary information on the determined website, and storing, in a database the summary information on the determined website and address information of the determined website.