Tobias Eichinger

Tobias Eichinger
Technische Universität Berlin | TUB · Department of Computer Engineering and Microelectronics

Master of Science

About

11
Publications
578
Reads
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22
Citations
Citations since 2016
11 Research Items
22 Citations
201620172018201920202021202201234567
201620172018201920202021202201234567
201620172018201920202021202201234567
201620172018201920202021202201234567
Introduction
Skills and Expertise
Education
October 2014 - October 2016
Karlsruhe Institute of Technology
Field of study
  • Mathematics
October 2011 - September 2014
Karlsruhe Institute of Technology
Field of study
  • Mathematics

Publications

Publications (11)
Article
User-user similarities in recommender systems are traditionally assessed on co-rated items. As ratings encode item preferences, similarities on co-rated items capture similarities in item preferences. However, a majority of similarities are undefined as particularly small profiles seldom overlap. We propose to use a similarity measure based on user...
Conference Paper
Pervasive computing systems employ distributed and embedded devices in order to raise, communicate, and process data in an anytime-anywhere fashion. Certainly, its most prominent device is the smartphone due to its wide proliferation, growing computation power, and wireless networking capabilities. In this context, we revisit the implementation of...
Preprint
Full-text available
Pervasive computing systems employ distributed and embedded devices in order to raise, communicate, and process data in an anytime-anywhere fashion. Certainly, its most prominent device is the smartphone due to its wide proliferation, growing computation power, and wireless networking capabilities. In this context, we revisit the implementation of...
Preprint
Full-text available
Typically, recommender systems from any domain, be it movies, music, restaurants, etc., are organized in a centralized fashion. The service provider holds all the data, biases in the recommender algorithms are not transparent to the user, and the service providers often create lock-in effects making it inconvenient for the user to switch providers....
Preprint
Full-text available
In the field of social networking services, finding similar users based on profile data is common practice. Smartphones harbor sensor and personal context data that can be used for user profiling. Yet, one vast source of personal data, that is text messaging data, has hardly been studied for user profiling. We see three reasons for this: First, pri...
Preprint
Full-text available
In the field of Natural Language Processing (NLP), we revisit the well-known word embedding algorithm word2vec. Word embeddings identify words by vectors such that the words' distributional similarity is captured. Unexpectedly, besides semantic similarity even relational similarity has been shown to be captured in word embeddings generated by word2...
Conference Paper
Full-text available
In the field of Natural Language Processing (NLP), we revisit the well-known word embedding algorithm word2vec. Word embeddings identify words by vectors such that the words' distributional similarity is captured. Unexpectedly, besides semantic similarity even relational similarity has been shown to be captured in word embeddings generated by word2...
Article
Full-text available
We revisit the problem of characterizing the eigenvalue distribution of the Dirichlet-Laplacian on bounded open sets $\Omega\subset\mathbb{R}$ with fractal boundaries. It is well-known from the results of Lapidus and Pomerance \cite{LapPo1} that the asymptotic second term of the eigenvalue counting function can be described in terms of the Minkowsk...

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