---
title: "Location and social recommendation data (Gowalla…"
description: "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)."
url: https://scholar4ai.com/datasets/location-and-social-recommendation-data-gowalla-foursquare-yelp-epinions
markdown_url: https://scholar4ai.com/datasets/location-and-social-recommendation-data-gowalla-foursquare-yelp-epinions.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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… (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions)

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/4.md)

Product and service reviews, ratings, purchases and user-item interactions.

- data category: Online reviews, e-commerce and recommender data
- 0 papers in the last 7 days
- Names searched for: Gowalla, Foursquare, Epinions, Douban, Last.fm

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Online reviews, e-commerce and recommender data datasets: https://scholar4ai.com/datasets/online-reviews-e-commerce-and-recommender-data.md



## Key findings

- 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.

## Mentions over 36 months

*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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 46 | 43 | 41 | 130 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 9 | 9 | 9 | 8 | 4 | 3 | 13 | 29 | 33 | 25 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 4 | 2 | 5 | 1 | 0 | 0 | 3 | 4 | 1 | 2 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 4 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 2 |
| [Management](https://scholar4ai.com/categories/management.md) | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 | 0 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 19 | 12 | 15 | 12 | 6 | 5 | 20 | 43 | 41 | 35 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 31 |
| 2 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 7 |
| 3 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 6 |
| 4 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 6 |
| 5 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 6 |
| 6 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 5 |
| 7 | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 5 |
| 8 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 5 |
| 9 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 5 |
| 10 | [Transportation](https://scholar4ai.com/journals/transportation.md) | 4 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 9 |
| 2 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 6 |
| 3 | [Beijing Jiaotong University](https://scholar4ai.com/institutions/beijing-jiaotong-university.md) | 4 |
| 4 | [Hefei University of Technology](https://scholar4ai.com/institutions/hefei-university-of-technology.md) | 4 |
| 5 | [University of Electronic Science and Technology of China](https://scholar4ai.com/institutions/university-of-electronic-science-and-technology-of-china.md) | 4 |
| 6 | [University of Technology Sydney](https://scholar4ai.com/institutions/university-of-technology-sydney.md) | 4 |
| 7 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 3 |
| 8 | [Hong Kong University of Science and Technology](https://scholar4ai.com/institutions/hong-kong-university-of-science-and-technology.md) | 3 |
| 9 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 3 |
| 10 | The Hong Kong University of Science and Technology (Guangzhou) | 3 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 68 |
| 2 | United States | 24 |
| 3 | Australia | 15 |
| 4 | Hong Kong | 14 |
| 5 | United Kingdom | 9 |
| 6 | Spain | 8 |
| 7 | Italy | 8 |
| 8 | Singapore | 7 |
| 9 | South Korea | 6 |
| 10 | Taiwan | 6 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [recommender systems](https://scholar4ai.com/keywords/recommender-systems.md) | 26 |
| 2 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 12 |
| 3 | location-based social networks | 11 |
| 4 | personalized recommendation | 11 |
| 5 | point-of-interest recommendation | 10 |
| 6 | data sparsity | 8 |
| 7 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 8 |
| 8 | collaborative filtering | 7 |
| 9 | context-aware recommendation | 6 |
| 10 | [privacy preservation](https://scholar4ai.com/keywords/privacy-preservation.md) | 6 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 345 | 10.7 | [A Comprehensive Survey on Deep Graph Representation Learning](https://doi.org/10.1016/j.neunet.2024.106207) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2024-02-27 | Wei Ju, Zheng Fang, Yiyang Gu et al. |
| 2 | 257 | 2.4 | [Tourists' digital footprint in cities: Comparing Big Data sources](https://doi.org/10.1016/j.tourman.2017.11.001) | [Tourism Management](https://scholar4ai.com/journals/tourism-management.md) | 2017-11-13 | María Henar Salas-Olmedo, Borja Moya‐Gómez, Juan Carlos García Palomares et al. |
| 3 | 133 | 1.2 | [Personalized multi-period tour recommendations](https://doi.org/10.1016/j.tourman.2017.03.005) | [Tourism Management](https://scholar4ai.com/journals/tourism-management.md) | 2017-04-07 | Serhan Kotiloglu, Theodoros Lappas, Konstantinos Pelechrinis et al. |
| 4 | 117 | 3.6 | [A Survey on Federated Recommendation Systems](https://doi.org/10.1109/tnnls.2024.3354924) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2024-02-07 | Zehua Sun, Yonghui Xu, Yong Liu et al. |
| 5 | 108 | 1.1 | [Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data](https://doi.org/10.1109/tnnls.2018.2856253) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2018-08-10 | Yi Yu, Suhua Tang, Kiyoharu Aizawa et al. |

## Used together with

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.

*What papers use Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 45 | 2.3 |
| [Yelp](https://scholar4ai.com/datasets/yelp.md) | Dataset | 32 | 20.2 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 23 | 1.8 |
| [MovieLens](https://scholar4ai.com/datasets/movielens.md) | Dataset | 22 | 27.4 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 18 | 2.2 |
| [Amazon reviews](https://scholar4ai.com/datasets/amazon-reviews.md) | Dataset | 17 | 16.4 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 13 | 2.9 |
| [Taobao / Tmall / JD.com](https://scholar4ai.com/datasets/taobao-tmall-jd-com.md) | Dataset | 12 | 9.5 |
| [IMDb](https://scholar4ai.com/datasets/imdb.md) | Dataset | 10 | 9.8 |
| [Reddit](https://scholar4ai.com/datasets/reddit.md) | Dataset | 8 | 3.0 |
| [LinkedIn](https://scholar4ai.com/datasets/linkedin.md) | Dataset | 7 | 1.9 |
| [Weibo](https://scholar4ai.com/datasets/weibo.md) | Dataset | 7 | 3.2 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-23 | [RALLM-STAR: Spatial–Temporal Aligned Retrieval-Augmented LLM for zero-shot next POI recommendation](https://doi.org/10.1016/j.knosys.2026.117234) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Kunrong Li, Kwan Hui Lim | Singapore University of Technology and Design; Singapore University of Social Sciences |
| 2026-10-17 | [IFCRec: interest-feature dual calibration for graph recommendation](https://doi.org/10.1007/s10489-026-07531-4) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Zhenzhen Huang, Weiran Li, Shuo Xiao et al. | China University of Mining and Technology |
| 2026-10-07 | [Perceived placeness in creative tourism: Conceptualization, scale development and implications for transformative experiences](https://doi.org/10.1016/j.jdmm.2026.101172) | [Journal of Destination Marketing & Management](https://scholar4ai.com/journals/journal-of-destination-marketing-management.md) | Lin Wang, Junji Jia, Lingxu Zhou et al. | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).