We present Citolytics - a novel link-based recommendation system for Wikipedia articles. In a preliminary study, Citolytics achieved promising results compared to the widely used text-based approach of Apache Lucene’s MoreLikeThis (MLT). In this demo paper, we describe how we plan to integrate Citolytics into the Wikipedia infrastructure by using Elasticsearch and Apache Flink to serve recommendations for Wikipedia articles. Additionally, we propose a large-scale online evaluation design using the Wikipedia Android app. Working with Wikipedia data has several unique advantages. First, the availability of a very large user sample contributes to statistically significant results. Second, the openness of Wikipedia’s architecture allows making ...
A lot of the world's knowledge is stored in books, which, as a result of recent mass-digitisation ef...
In 2005 Wikipedia implemented a category system for the purposes of facilitating navigation througho...
Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densel...
Human navigation in information spaces has increasing importance in ever-growing data sources we pos...
One important challenge in the field of recommender systems is the sparsity of available data. This ...
Wikipedia is one of the most used encyclopedias today. It earned its status for more than one reason...
Information wikis and especially Wikipedia have become one of the most attractive environments for i...
This paper introduces Hopara, a new search engine that aims to make Wikipedia easier to explore. It ...
This thesis focuses on using recommender system's methods on Linked Open Data in a domain of books. ...
peer-reviewedIn this article, we first argue the importance and timely need of linking libraries and...
With the vast amount of natural language data that is widely availabletoday there is an increased de...
The goal of this paper is to design and implement a system for selection of Wikipedia articles relev...
We investigate the task of finding links from Wikipedia pages to external web pages. Such external l...
Wikipedia is a well known and widely used source of information. Wikipedia is massive, and its infor...
Collaborative knowledge management systems such as the Wikipedia are becoming ever more popular – an...
A lot of the world's knowledge is stored in books, which, as a result of recent mass-digitisation ef...
In 2005 Wikipedia implemented a category system for the purposes of facilitating navigation througho...
Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densel...
Human navigation in information spaces has increasing importance in ever-growing data sources we pos...
One important challenge in the field of recommender systems is the sparsity of available data. This ...
Wikipedia is one of the most used encyclopedias today. It earned its status for more than one reason...
Information wikis and especially Wikipedia have become one of the most attractive environments for i...
This paper introduces Hopara, a new search engine that aims to make Wikipedia easier to explore. It ...
This thesis focuses on using recommender system's methods on Linked Open Data in a domain of books. ...
peer-reviewedIn this article, we first argue the importance and timely need of linking libraries and...
With the vast amount of natural language data that is widely availabletoday there is an increased de...
The goal of this paper is to design and implement a system for selection of Wikipedia articles relev...
We investigate the task of finding links from Wikipedia pages to external web pages. Such external l...
Wikipedia is a well known and widely used source of information. Wikipedia is massive, and its infor...
Collaborative knowledge management systems such as the Wikipedia are becoming ever more popular – an...
A lot of the world's knowledge is stored in books, which, as a result of recent mass-digitisation ef...
In 2005 Wikipedia implemented a category system for the purposes of facilitating navigation througho...
Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densel...