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Chapter and Conference Paper
Automatically Detecting Political Viewpoints in Norwegian Text
We introduce three resources to support research on political texts in Scandinavia. The encoder-decoder transformer models sp-t5 and sp-t5-keyword were trained on political texts. The nor-pvi (available at ...
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Chapter and Conference Paper
SP-BERT: A Language Model for Political Text in Scandinavian Languages
Language models are at the core of modern Natural Language Processing. We present a new BERT-style language model dedicated to political texts in Scandinavian languages. Concretely, we introduce SP-BERT, a mod...
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Chapter and Conference Paper
Fake News Detection by Weakly Supervised Learning Based on Content Features
Fake news, defined as the publication of false information, either unintentional or with the intent to deceive or harm, is one of the important issues that affects today’s digital society significantly. All ar...
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Chapter and Conference Paper
Using Language Models for Classifying the Party Affiliation of Political Texts
We analyze the use of language models for political text classification. Political texts become increasingly available and language models have succeeded in various natural language processing tasks. We apply ...
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Chapter
Continuous Evaluation of Large-Scale Information Access Systems: A Case for Living Labs
A/B testing is currently being increasingly adopted for the evaluation of commercial information access systems with a large user base since it provides the advantage of observing the efficiency and effectiven...
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Chapter and Conference Paper
A Framework for Analyzing News Images and Building Multimedia-Based Recommender
The number and accessibility of published news items have grown rec...
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Chapter and Conference Paper
CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education
News recommender systems provide users with access to news stories that they find interesting and relevant. As other online, stream-based recommender systems, they face particular challenges, including limited...
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Chapter and Conference Paper
Overview of NewsREEL’16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms
Successful news recommendation requires facing the challenges of dynamic item sets, contextual item relevance, and of fulfilling non-functional requirements, such as response time. The CLEF NewsREEL challenge ...
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Chapter and Conference Paper
Using Interaction Signals for Job Recommendations
Job recommender systems depend on accurate feedback to improve their suggestions. Implicit feedback arises in terms of clicks, bookmarks and replies. We present results from a member inquiry conducted on a lar...
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Chapter
News Recommendation in Real-Time
Recommender systems support users facing information overload situations. Typically, such situations arise as users have to choose between an immense number of alternatives. Examples include deciding what song...
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Chapter
Personalized Fashion Advice
Shop** online for clothes is becoming very popular recently. But finding good clothes remains a difficult task. We face a wealth of clothes on offer, and without the possibility to fit or feel the product, m...
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Chapter and Conference Paper
Stream-Based Recommendations: Online and Offline Evaluation as a Service
Providing high-quality news recommendations is a challenging task because the set of potentially relevant news items changes continuously, the relevance of news highly depends on the context, and there are tig...
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Chapter and Conference Paper
Benchmarking News Recommendations in a Living Lab
Most user-centric studies of information access systems in literature suffer from unrealistic settings or limited numbers of users who participate in the study. In order to address this issue, the idea of a li...
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Chapter and Conference Paper
Evaluation of Cross-Domain News Article Recommendations
This thesis will investigate methods to increase the utility of news article recommendation services. Access to different news providers allows us to consider cross-domain user preferences. We deal with recomm...
