Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Collaborative Place Models
Authors: Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara
IJCAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We apply CPM to both sparse and dense datasets, and demonstrate how it both improves location prediction performance and provides new insights into users spatiotemporal patterns. |
| Researcher Affiliation | Collaboration | Berk Kapicioglu Foursquare Labs... David S. Rosenberg YP Mobile Labs... Robert E. Schapire Princeton University... Tony Jebara Columbia University |
| Pseudocode | Yes | Algorithm 1 Collapsed Gibbs sampler for CPM. |
| Open Source Code | No | The paper states 'Supplements are available at http://www.berkkapicioglu.com.' but does not explicitly or unambiguously state that the source code for the described methodology is provided at this link. |
| Open Datasets | No | The paper uses 'a dense cellular carrier dataset and a sparse mobile ad exchange dataset' but does not provide concrete access information (link, DOI, repository, or formal citation) for these datasets, implying they are not publicly available. |
| Dataset Splits | Yes | for each user, split the user s data points into 3 partitions: earliest 60% is added to the training data, middle 20% to the validation data, and ο¬nal 20% to the test data. |
| Hardware Specification | No | The paper does not provide specific hardware details such as GPU/CPU models, processor types, or memory used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers (e.g., library or solver names with version numbers). |
| Experiment Setup | Yes | We set the hyperparameters by choosing the number of factors from F {1, . . . , 10} and the Dirichlet parameters from Ξ±, Ξ² {0.01, 0.1, 1, 10}. |