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Alexandru Tandrau

dblp:117/4248 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2Human-computer interaction and ubiquitous computing · 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 · 77% Data mining · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › text mining › text classification
tweet classification
0.012012
TweetSpector: entity-based retrieval of tweets · SIGIR 2012

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

user feedback · 0.1entity profile creation · 0.1
YearPublicationVenuePosition
2013 TripEneer: User-Based Travel Plan Recommendation Application
Surender Reddy Yerva, Flavia Grosan, Alexandru Tandrau, Karl Aberer
ICWSM3
2012 TweetSpector: entity-based retrieval of tweets
abstract
TweetSpector is a tool for demonstrating entity-based of retrieval of tweets. The various features of this tool include: entity profile creation, real-time tweet classification, active improvement of the created profiles through user feedback, and the dashboard displaying different metrics.
Surender Reddy Yerva, Zoltán Miklós 0001, Flavia Grosan, Alexandru Tandrau, Karl Aberer
SIGIR4