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Mahesh Palekar

dblp:31/1468 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Information retrieval › web search
link analysis
0.112007
DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web · ICDE 2007
Information retrieval
ranking
0.112007
DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web · ICDE 2007
Information retrieval
web search
0.112007
DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web · ICDE 2007
Distributed systems › distributed system architecture
decentralized architecture
0.012007
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
YearPublicationVenuePosition
2007 DSphere: A Source-Centric Approach to Crawling, Indexing and Searching the World Wide Web
abstract
We 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
ICDE7