Christoph Trattner

From WikiPapers
Jump to: navigation, search

Christoph Trattner is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Recommending tags with a model of human categorization Delicious
Human categorization
LDA
Personalized tag recommendations
Wikipedia
International Conference on Information and Knowledge Management, Proceedings English 2013 When interacting with social tagging systems, humans exercise complex processes of categorization that have been the topic of much research in cognitive science. In this paper we present a recommender approach for social tags derived from ALCOVE, a model of human category learning. The basic architecture is a simple three-layers connectionist model. The input layer encodes patterns of semantic features of a user-specific resource, such as latent topics elicited through Latent Dirichlet Allocation (LDA) or available external categories. The hidden layer categorizes the resource by matching the encoded pattern against already learned exemplar patterns. The latter are composed of unique feature patterns and associated tag distributions. Finally, the output layer samples tags from the associated tag distributions to verbalize the preceding categorization process. We have evaluated this approach on a real-world folksonomy gathered from Wikipedia bookmarks in Delicious. In the experiment our approach outperformed LDA, a well-established algorithm. We attribute this to the fact that our approach processes semantic information (either latent topics or external categories) across the three different layers. With this paper, we demonstrate that a theoretically guided design of algorithms not only holds potential for improving existing recommendation mechanisms, but it also allows us to derive more generalizable insights about how human information interaction on the Web is determined by both semantic and verbal processes. Copyright 2013 ACM. 0 0
Exploring the differences and similarities between hierarchical decentralized search and human navigation in information networks Decentralized Search
Navigation
Simulations
Wikipedia
ACM International Conference Proceeding Series English 2012 Decentralized search in networks is an activity that is often performed in online tasks. It refers to situations where a user has no global knowledge of a network's topology, but only local knowledge. On Wikipedia for instance, humans typically have local knowledge of the links emanating from a given Wikipedia article, but no global knowledge of the entire Wikipedia graph. This makes the task of navigation to a target Wikipedia article from a given starting article an interesting problem for both humans and algorithms. As we know from previous studies, people can have very efficient decentralized search procedures that find shortest paths in many cases, using intuitions about a given network. These intuitions can be modeled as hierarchical background knowledge that people access to approximate a networks' topology. In this paper, we explore the differences and similarities between decentralized search that utilizes hierarchical background knowledge and actual human navigation in information networks. For that purpose we perform a large scale study on the Wikipedia information network with over 500,000 users and 1,500,000 click trails. As our results reveal, a decentralized search procedure based on hierarchies created directly from the link structure of the information network simulates human navigational behavior better than simulations based on hierarchies that are created from external knowledge. 0 0
The Austrian way of Wiki(pedia)!: development of a structured Wiki-based encyclopedia within a local Austrian context WikiSym English 2010 Although the success of online encyclopedias such as Wikipedia is indisputable, researchers have questioned usefulness of Wikipedia in educational settings. Problems such as copy&paste syndrome, unchecked quality, or fragmentation of knowledge have been recognized as serious drawbacks for a wide spread application of Wikipedia in universities or high schools. In this paper we present a Wiki-based encyclopedia called Austria-Forum that aims to combine openness and collaboration aspects of Wikipedia with approaches to build a structured, quality inspected, and context-sensitive online encyclopedia. To ensure tractability of the publishing process the system focuses on providing information within a local Austrian context. It is our experience that such an approach represents a first step of a proper application of online encyclopedias in educational settings. 0 0
The Austrian way of wiki(pedia)! Development of a structured wiki-based encyclopedia within a local Austrian context Austria-forum
Context-aware Wiki
Local Wiki
Structured Wiki
Wiki
WikiSym 2010 English 2010 Although the success of online encyclopedias such as Wiki-pedia is indisputable, researchers have questioned usefulness of Wikipedia in educational settings. Problems such as copy&paste syndrome, unchecked quality, or fragmentation of knowledge have been recognized as serious drawbacks for a wide spread application of Wikipedia in universities or high schools. In this paper we present a Wiki-based encyclopedia called Austria-Forum that aims to combine openness and collaboration aspects of Wikipedia with approaches to build a structured, quality inspected, and context-sensitive online encyclopedia. To ensure tractability of the publishing process the system focuses on providing information within a local Austrian context. It is our experience that such an approach represents a first step of a proper application of online encyclopedias in educational settings. 0 0