Zobrazeno 1 - 5
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pro vyhledávání: '"Alonso, Omar"'
Autor:
Church, Kenneth, Alonso, Omar, Vickers, Peter, Sun, Jiameng, Ebrahimi, Abteen, Chandrasekar, Raman
We argue that Content-based filtering (CBF) and Graph-based methods (GB) complement one another in Academic Search recommendations. The scientific literature can be viewed as a conversation between authors and the audience. CBF uses abstracts to infe
Externí odkaz:
http://arxiv.org/abs/2407.05836
Link sharing in social media can be seen as a collaboratively retrieved set of documents for a query or topic expressed by a hashtag. Temporal information plays an important role for identifying the correct context for which such annotations are vali
Externí odkaz:
http://arxiv.org/abs/1908.01868
We describe a knowledge graph derived from Twitter data with the goal of discovering relationships between people, links, and topics. The goal is to filter out noise from Twitter and surface an inside-out view that relies on high quality content. The
Externí odkaz:
http://arxiv.org/abs/1906.05986
Autor:
Alonso, Omar
There is a renaissance in visual analytics systems for data analysis and sharing, in particular, in the current wave of big data applications. We introduce RAVE, a prototype that automates the generation of an interface that uses facets and visualiza
Externí odkaz:
http://arxiv.org/abs/1612.03316
As the number of applications that use machine learning algorithms increases, the need for labeled data useful for training such algorithms intensifies. Getting labels typically involves employing humans to do the annotation, which directly translate
Externí odkaz:
http://arxiv.org/abs/1307.3673