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Data · dataset · 2023

Harvesting movie ratings from structured data in social media

Listed in BERD@NFDI Data Portal

Public movie rating datasets, like MovieLens or Netflix, have long been popular and widely used in the recommmender systems domain for comparison and experimentation.

Description

More and more however these datasets are becoming outdated and fail to incorporate new and relevant items. In our work, we tap into the vast availability of social media and construct a new movie rating dataset 'MovieTweetings' based on public and well-structured tweets.

New data is added on a daily basis, which guarantees the MovieTweetings dataset to always incorporate ratings on the newest and most relevant movies.

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Economics & Finance
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
BERD@NFDI Data Portalxvgnw-d781111 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · berd platform deconnector:berd_platform_de@1.0.0
concepts[field].local:field:economics-financemapping · berd platform deconnector:berd_platform_de@1.0.0
descriptionsource · berd platform deconnector:berd_platform_de@1.0.0/metadata/description
publication_datesource · berd platform deconnector:berd_platform_de@1.0.0
titlesource · berd platform deconnector:berd_platform_de@1.0.0/metadata/title
updated_datesource · berd platform deconnector:berd_platform_de@1.0.0