Demo Data from VLDB 2026 / reviewers in the wild / expert
Mahesh Palekar
dblp:31/1468
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › web search
link analysis |
0.1 | 1 | 2007 | DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web · ICDE 2007 |
Information retrieval
ranking |
0.1 | 1 | 2007 | DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web · ICDE 2007 |
Information retrieval
web search |
0.1 | 1 | 2007 | DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web · ICDE 2007 |
Distributed systems › distributed system architecture
decentralized architecture |
0.0 | 1 | 2007 | DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web · ICDE 2007 |
Methods — techniques the papers use, named apart from their topics
source-based link analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide WebabstractWe describe DSphere - a decentralized system for crawling, indexing, searching and ranking of documents in the World Wide Web. Unlike most of the existing search technologies that depend heavily on a page-centric view of the Web, we advocate a source-centric view of the Web and propose a decentralized architecture for crawling, indexing and searching the Web in a distributed source-specific fashion. A fully decentralized crawler is developed to crawl the World Wide Web where each peer is assigned the responsibility of crawling a specific set of documents referred to as a source collection. Link analysis techniques are used for ranking documents. Traditional link analysis techniques suffer from problems like slow refresh rate and vulnerabilities to Web Spam. We propose a source-based link analysis approach, which computes fast and accurate ranking scores for all crawled documents. Bhuvan Bamba, Ling Liu 0001, James Caverlee, Vaibhav Padliya, Mudhakar Srivatsa, Tushar Bansal, Mahesh Palekar, Joseph Patrao, Suiyang Li, Aameek Singh |
ICDE | 7 |