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Tapajyoti Das

dblp:07/4414 · DBLP profile ↗
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2ranked-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 · 1Theory of computation · 1Applied, interdisciplinary, general and emerging computing · 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%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › document retrieval › structured document retrieval
focused retrieval
0.112007
A link-based ranking scheme for focused search · WWW 2007
Information retrieval › ranking › graph-based ranking
link-based ranking
0.112007
A link-based ranking scheme for focused search · WWW 2007
Information retrieval
web search
0.112007
A link-based ranking scheme for focused search · WWW 2007

Methods — techniques the papers use, named apart from their topics

topic-sensitive pagerank · 0.1pagerank · 0.1
YearPublicationVenuePosition
2007 A link-based ranking scheme for focused search
abstract
This paper introduces a novel link-based ranking algorithm based on a model of focused Web surfers. FocusedRank is described and compared to implementations of PageRank and Topic-Sensitive PageRank. We report a user study that measures the relevance and precision of each approach. FocusedRank gives superior relevancy over PageRank, while significantly reducing the computational complexity compared to the Topic-Senstivice PageRank.
Philip O'Brien, Tony Abou-Assaleh, Tapajyoti Das, Weizheng Gao, Yingbo Miao, Zhen Zhen
WWW3
2006 Combating Spamdexing: Incorporating Heuristics in Link-Based Ranking
Tony Abou-Assaleh, Tapajyoti Das
WAW2