BookCrossing Interactions (implicit)
The BookCrossing user–book network in its implicit form, as distributed by KONECT (bookcrossing_full-rating): 1,149,739 interactions between 105,278 members of the BookCrossing community and 340,523 books, collected by Cai-Nicolas Ziegler in August and September 2004. An edge records that a user interacted with a book; this version carries no rating values. Useful for collaborative filtering, implicit-feedback recommendation and the structure of user–item networks.
Cite this dataset at
bookcrossing.echo.directory
Analytics
The full graph has 445,801 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
bookcrossing- Authors
- Ziegler, Cai-Nicolas; McNee, Sean M.; Konstan, Joseph A.; Lausen, Georg
- Year
- 2005
- Source paper
- Improving recommendation lists through topic diversification
- DOI / arXiv
- 10.1145/1060745.1060754
- License
- Academic Use (LicenseRef-Research-Only)
- Records
- 1,149,739
- Nodes
- 445,801
- Edges
- 1,149,739
- Nodes are
- user / book
- Edges are
- interaction
- Attributes
- nodes have no attributes; edges have attributes
- Languages
- en
- Collected
- 2004-08 to 2004-09 (2000s)
- Tasks
- Recommendation (ranking) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- http://konect.cc/networks/bookcrossing_full-rating/ link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 3.9 MB across 1 files. Checksums in MANIFEST.json.
Citations
Improving recommendation lists through topic diversification
Cai-Nicolas Ziegler, S. Mcnee, J. Konstan, G. Lausen
Journal Article · The Web Conference · 2005
Cited by
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Wenjie Wang, Fu-Li Feng et al. · Knowledge Discovery and Data Mining · 2021 · cited 234×
Show all 10
- A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
Yashar Deldjoo, Zhan-Kui He et al. · Knowledge Discovery and Data Mining · 2024 · cited 208× - A survey on popularity bias in recommender systems
Anastasiia Klimashevskaia, D. Jannach et al. · User modeling and user-adapted interaction · 2023 · cited 195× - DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
Liangwei Yang, Sheng-Jie Wang et al. · Web Search and Data Mining · 2022 · cited 170× - Fairness and Diversity in Recommender Systems: A Survey
Yu-Ying Zhao, Yu Wang et al. · ACM Transactions on Intelligent Systems and Technology · 2023 · cited 158× - Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
J. Stray, A. Halevy et al. · Trans. Recomm. Syst. · 2022 · cited 152×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{Ziegler_2005,
series = {WWW ’05},
title = {Improving recommendation lists through topic diversification},
url = {http://dx.doi.org/10.1145/1060745.1060754},
doi = {10.1145/1060745.1060754},
booktitle = {Proceedings of the 14th international conference on World Wide Web - WWW ’05},
publisher = {ACM Press},
author = {Ziegler, Cai-Nicolas and McNee, Sean M. and Konstan, Joseph A. and Lausen, Georg},
year = {2005},
pages = {22},
collection = {WWW ’05}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Ziegler, C.-N., McNee, S. M., Konstan, J. A., & Lausen, G. (2005). BookCrossing Interactions (implicit) [Data set]. https://doi.org/10.1145/1060745.1060754
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Ziegler, Cai-Nicolas, et al. BookCrossing Interactions (implicit). 2005, doi.org/10.1145/1060745.1060754.