Spotivibes: Tagging playlist vibes with colors

Music is often both personally and affectively meaningful to human listeners. However, little work has been done to create music recommender systems that take this into account. In this demo proposal, we present Spotivibes: a first prototype for a new color-based tagging and music recommender system. This innovative tagging system is designed...

What are we measuring anyway? A literature survey of questionnaires used in studies reported in the intelligent virtual agent conferences

Research into artificial social agents aims at constructing these agents and at establishing an empirically grounded understanding of them, their interaction with humans, and how they can ultimately deliver certain outcomes in areas such as health, entertainment, and education. Key for establishing such understanding is the community’s...

BlUrM(or)e: Revisiting gender obfuscation in the user-item matrix

Past research has demonstrated that removing implicit gender information from the user-item matrix does not result in substantial performance losses. Such results point towards promising solutions for protecting users’ privacy without compromising prediction performance, which are of particular interest in multistakeholder environments. Here,...

Data masking for recommender systems: Prediction performance and rating hiding

Data science challenges allow companies, and other data holders, to collaborate with the wider research community. In the area of recommender systems, the potential of such challenges to move forward the state of the art is limited due to concerns about releasing user interaction data. This paper investigates the potential of privacy...

Dockerising terrier for the open-source IR replicability challenge

Reproducibility and replicability are key concepts in science, and it is therefore important for information retrieval (IR) platforms to aid in reproducing and replicating experiments. In this paper, we describe the creation of a Docker container for Terrier within the framework of the OSIRRC 2019 challenge, which allows typical runs to be...

Up close, but not too personal: Hypotargeting for recommender systems

Hypotargeting for recommender systems (hyporec) is the idea of controlling the number of unique lists of items that a recommender system can recommend to users during a given time period. The main advantage of hyporec is oversight. If a recommender system offers only a finite number of unique lists, then it becomes feasible for a person...

Investigating developer perception on test smells using better code hub - Work in progress -

Test smells can be found in test code using a variety of tools. In this paper, we present our integration of a test smell detection tool into Better Code Hub (BCH), an online environment for monitoring code quality and identifying problems in it. We extended BCH with test smell detection and observe how developers react to various instances...

Dockerizing indri for OSIRRC 2019

The Lemur Project was set up in 2000 by the Center for Intelligent Information Retrieval at UMass Amherst. It is one of the longest lasting open-source projects in the information retrieval (IR) research community. Among the released tools is Indri, a popular search engine that was designed for language-modeling based approaches to IR. For...

Towards creating a non-synthetic group recommendation dataset

Recommender systems can be useful in group settings, e.g. when choosing a movie to watch with a group. However, while considerable research in group recommendation has been performed, we still lack truly ecological datasets on group recommendations in real life consumption scenarios. Much of the existing work considers hypothetical...

Overview of the 2019 open-source IR replicability challenge (OSIRRC 2019)

The Open-Source IR Replicability Challenge (OSIRRC 2019), organized as a workshop at SIGIR 2019, aims to improve the replicability of ad hoc retrieval experiments in information retrieval by gathering a community of researchers to jointly develop a common Docker specification and build Docker images that encapsulate a diversity of systems and...

Open data portals as part of the open data ecosystem?: Lessons learned from geoportal research

Many countries and also cities have their own open data portal, which provide geographic data that can be used even by citizens. One of the current challenges is to satisfy user needs to ensure that the data that is provided through the portal is<br/>actually used. This paper provides insights in the findability of datasets through of a special...

Dependence tracing techniques for spreadsheets: An investigation

Spreadsheet cells contain data but also may contain formulas that refer to data from other cells, perform operations on them, and render the results directly to show it to the user. In order to understand the structure of spreadsheets, one needs to understand the formulas that control cell-to-cell dataflow. Understanding this cell-to-cell inter...