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..
Exploring Implicit Hierarchical Structures for Recommender Systems
Authors: Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
IJCAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on two real world datasets demonstrate the effectiveness of the proposed framework. In Section 4, we show empirical evaluation with discussion. |
| Researcher Affiliation | Academia | Suhang Wang, Jiliang Tang, Yilin Wang and Huan Liu School of Computing, Informatics, and Decision Systems Engineering Arizona State University, USA EMAIL |
| Pseudocode | Yes | Algorithm 1 The Optimization Algorithm for the Proposed Framework HSR. |
| Open Source Code | Yes | The code can be downloaded from http://www.public.asu.edu/~swang187/ |
| Open Datasets | Yes | The experiments are conducted on two publicly available benchmark datasets, i.e., Movie Lens100K 4 and Douban 5. ... 4http://grouplens.org/datasets/movielens/ 5http://dl.dropbox.com/u/17517913/Douban.zip |
| Dataset Splits | No | The paper mentions "We random select x% as training set and the remaining 1 x% as testing set" but does not specify a separate validation dataset split. While it states parameters are determined via cross-validation, it doesn't describe the splits for it. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running the experiments (e.g., CPU, GPU models, memory). |
| Software Dependencies | No | The paper does not list specific software dependencies with version numbers (e.g., Python 3.x, specific library versions). |
| Experiment Setup | Yes | We only show results with p = 2 and q = 2, i.e., W X W (U1U2V2V1) with U1 Rn n1, U2 Rn1 d, V1 Rd m1, and V2 Rm1 m, since we have similar observations with other settings of p and q. We fix d to be 20 and vary the value of n1 as {100, 200, 300, 400, 500} and the value of m1 as {200, 400, 600, 800, 1000}. |