From Nov 2023 to Oct 2026, 130 archived papers mentioned Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Nov 2023 (7).
Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) was mentioned in 3 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #103 of the 246 datasets mentioned.
By journal category: AI (2) and Tourism and Hospitality (1).
Most of them appeared in Knowledge-Based Systems (1), Applied Intelligence (1) and Journal of Destination Marketing & Management (1).
From 2017 to 2026 (so far), Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) was mentioned in 208 papers in the tracked journals, most of them in AI (142), information systems (22) and operations research (13).
41 of them were published in 2025, against 19 in 2017.
Since 2023, the institutions with the most of these papers were Zhejiang University (9), Hong Kong Polytechnic University (6) and Beijing Jiaotong University (4).
The journals publishing most of them were IEEE Transactions on Knowledge and Data Engineering (31), Expert Systems with Applications (7) and Knowledge and Information Systems (6).
The most-cited of them is “A Comprehensive Survey on Deep Graph Representation Learning” (Neural Networks, 2024), with 345 citations.
Papers use Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) most often with Twitter / X (45), Yelp (32) and Facebook (23); it has 22 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) most often with Twitter / X (45), Yelp (32) and Facebook (23); it has 22 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →
What papers use Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) together with (at least 3 papers; lift 1 = chance)
Lanzhou University of Finance and Economics; Zhongnan University of Economics and Law
Cite this page
Scholar4AI. (2026). Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/location-and-social-recommendation-data-gowalla-foursquare-yelp-epinions
@misc{scholar4ai-datasets-location-and-social-recommendation-data-gowalla-foursquare-yelp-epinions,
author = {{Scholar4AI}},
title = {Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/location-and-social-recommendation-data-gowalla-foursquare-yelp-epinions}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).