Oliver Baumann

University of Bayreuth · Professorship for Data Modelling & Interdisciplinary Knowledge Generation

In Information Retrieval, query expansion refers to the procedure ofreformulating a user's search query by adding further search terms to theoriginal query to improve retrieval quality. Short queries, specifically, oftensuffer from ambiguity, i.e., they refer to multiple possible senses. Theobjective of query expansion, then, is to augment with ter...

Traditional recommendation proposals, including content-based and collaborative filtering, usually focus on similarity between items or users. Existing approaches lack ways of introducing unexpectedness into recommendations, prioritizing globally popular items over exposing users to unforeseen items. This investigation aims to design and evaluate a...

Recommender systems are commonly designed and evaluated with high precision and accuracy in mind. Optimising systems for these metrics alone can, however, lead to a decrease in overall collection coverage of recommended items, and overemphasize popular content. In order to present useful suggestions to users, it has been argued that a recommender s...