Management Of Volatile Information In Incremental Web Crawler
Ravita Chahar, Komal Hooda, Annu Dhankhar
TL;DR
This paper discusses strategies for managing volatile information in incremental web crawlers, aiming to improve data freshness and efficiency.
Contribution
It introduces a novel approach for handling volatile data in incremental crawling, enhancing update detection and resource management.
Findings
Improved update detection accuracy
Reduced crawling overhead
Enhanced data freshness
Abstract
Paper has been withdrawn.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWeb Data Mining and Analysis · Distributed and Parallel Computing Systems