Academic Literature Recommendation Experimental Dataset

It includes metadata such as article titles, abstracts, journal names, publication years, and citation information, but does not contain user–item interaction data.CiteULike Dataset: A widely used public dataset in personalized recommendation research, CiteULike captures real user interactions with academic publications.

The dataset collected from both CiteULike and Google Scholar, and includes titles, abstracts, user-assigned tags, and user–item interaction records.ICF Dataset: This is a custom-built dataset developed based on the "Intelligent Data Center for Cryosphere Science and Frozen Ground Engineering" platform. It provides comprehensive bibliographic metadata and records diverse user–item interactions with explicit timestamps.