268 research outputs found
The Influence of Data Storytelling on the Ability to Recall Information — Auxiliary materials
No full textThis repository contains auxiliary materials for the CHIIR 2022 paper "The Influence of Data Storytelling on the Ability to Recall Information" by Dominyk Zdanovic, Tanja Julie Lembcke and Toine Bogers (= corresponding author)
Published in: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval (CHIIR '22), March 14--18, 2022, Regensburg, Germany.
The paper presents the results of an experimental comparison of influence data storytelling and traditional data visualizations on the ability to recall information contained in the visualizations. There are two types of auxiliary materials:
Questions posed to participants in the two condition, both post-task and post-exeriment along with the correct answers.
PDF versions of the six visualizations used in the experimen
CRISPS coding scheme for complex casual leisure search requests — Auxiliary materials
No full textThis repository contains auxiliary materials related to the CRISPS coding scheme for complex casual leisure search requests. The CRISPS coding scheme is described in the article "Understanding Complex Casual Leisure Information Needs: An Analysis of Search Requests for Books, Games, Movies and Music" by Toine Bogers (= corresponding author), Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. The article provides a comprehensive analysis of complex search requests in the casual leisure domains of books, games, movies and music using the CRISPS coding scheme.
This repository contains the following auxiliary materials:
The CRISPS codebooks for all four domains along with examples for each code and a comparison between the four domains (codebook.pdf)
The CRISPS coding scheme figures from the article in a single PDF file (coding-scheme.pdf)
The CRISPS coding scheme from the article in a machine-readable TSV-format (coding-scheme.tsv)
All 2000 posts along with their assigned CRISPS codes in TSV-format (all-posts.tsv
The Influence of Data Storytelling on the Ability to Recall Information — Auxiliary materials
No full textThis repository contains auxiliary materials for the CHIIR 2022 paper "The Influence of Data Storytelling on the Ability to Recall Information" by Dominyk Zdanovic, Tanja Julie Lembcke and Toine Bogers (= corresponding author) Published in: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval (CHIIR '22), March 14--18, 2022, Regensburg, Germany. The paper presents the results of an experimental comparison of influence data storytelling and traditional data visualizations on the ability to recall information contained in the visualizations. There are two types of auxiliary materials: Questions posed to participants in the two condition, both post-task and post-exeriment along with the correct answers. PDF versions of the six visualizations used in the experimen
Trends in Content-based Recommendation: Preface to the Special Issue on Recommender Systems based on Rich Item Descriptions
No full textThird Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)
Full text linkWhile content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. For some domains, such as movies, the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we still do not know if and how these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation
CRISPS coding scheme for complex casual leisure search requests — Auxiliary materials
No full textThis repository contains auxiliary materials related to the CRISPS coding scheme for complex casual leisure search requests. The CRISPS coding scheme is described in the article "Understanding Complex Casual Leisure Information Needs: An Analysis of Search Requests for Books, Games, Movies and Music" by Toine Bogers (= corresponding author), Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. The article provides a comprehensive analysis of complex search requests in the casual leisure domains of books, games, movies and music using the CRISPS coding scheme. This repository contains the following auxiliary materials: The CRISPS codebooks for all four domains along with examples for each code and a comparison between the four domains (codebook.pdf) The CRISPS coding scheme figures from the article in a single PDF file (coding-scheme.pdf) The CRISPS coding scheme from the article in a machine-readable TSV-format (coding-scheme.tsv) All 2000 posts along with their assigned CRISPS codes in TSV-format (all-posts.tsv
Analyzing the Human Recommendation Community 'ifyoulikeblank' on Reddit — Auxiliary materials
No full textThis repository contains auxiliary materials for the iConference 2024 paper "“If I like BLANK, what else will I like?”: Analyzing a Human Recommendation Community on Reddit" by Thi Binh Minh Cao and Toine Bogers (= corresponding author) Published in: Proceedings of the 2024 iConference, April 15--26, 2024, Changchun, China. The paper presents the results of an analysis of /r/ifyoulikeblank, a Reddit community dedicated to requesting and providing for recommendations. This repository contains the following auxiliary materials: The annotated sample of threads from the /r/ifyoulikeblank subreddit (annotated-dataset.xlsx). The second sheet in the Excel file explains the contents of the file. The R code for performing the analysis described in the paper (annotation-analysis.R) CSV file containing the genres attributed to the artists as crawled from the Spotify API (artist-spotify-genres.csv) CSV file containing the popularity scores crawled from the Spotify API for the seed items and Spotify recommendations (recommendation-popularity.reddit-vs-spotify.csv) CSV file containing the popularity scores crawled from the Spotify API for the Reddit (recommendation-popularity.reddit.csv) The stopwords file used in the textual analysis (stopwords.csv) Excel file containing the activity data for the /r/ifyoulikeblank subreddit (subreddit-stats.xlsx
CRISPS coding scheme for complex casual leisure search requests — Auxiliary materials
No full textThis repository contains auxiliary materials related to the CRISPS coding scheme for complex casual leisure search requests. The CRISPS coding scheme is described in the article "Understanding Complex Casual Leisure Information Needs: An Analysis of Search Requests for Books, Games, Movies and Music" by Toine Bogers (= corresponding author), Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. The article provides a comprehensive analysis of complex search requests in the casual leisure domains of books, games, movies and music using the CRISPS coding scheme. This repository contains the following auxiliary materials: The CRISPS codebooks for all four domains along with examples for each code and a comparison between the four domains (codebook.pdf)The CRISPS coding scheme figures from the article in a single PDF file (coding-scheme.pdf)The CRISPS coding scheme from the article in a machine-readable TSV-format (coding-scheme.tsv)All 2000 posts along with their assigned CRISPS codes in TSV-format (all-posts.tsv
The Influence of Data Storytelling on the Ability to Recall Information — Auxiliary materials
No full textThis repository contains auxiliary materials for the CHIIR 2022 paper "The Influence of Data Storytelling on the Ability to Recall Information" by Dominyk Zdanovic, Tanja Julie Lembcke and Toine Bogers (= corresponding author) Published in: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval (CHIIR '22), March 14--18, 2022, Regensburg, Germany. The paper presents the results of an experimental comparison of influence data storytelling and traditional data visualizations on the ability to recall information contained in the visualizations. There are two types of auxiliary materials: Questions posed to participants in the two condition, both post-task and post-exeriment along with the correct answers. PDF versions of the six visualizations used in the experimen
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