Geosoca: Exploiting geographical, social and categorical correlations for point-of-interest recommendations

JD Zhang, CY Chow - Proceedings of the 38th international ACM SIGIR …, 2015 - dl.acm.org
Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …

[PDF][PDF] GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations

JD Zhang, CY Chow - scholar.archive.org
Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …

[PDF][PDF] GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations

JD Zhang, CY Chow - Citeseer
Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …

GeoSoCa: Exploiting geographical, social and categorical correlations for point-of-interest recommendations

JD Zhang, CY Chow - 38th Annual ACM SIGIR Conference on …, 2015 - scholars.cityu.edu.hk
Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …

[引用][C] GeoSoCa

JD Zhang, CY Chow - Proceedings of the 38th International ACM SIGIR …, 2015 - cir.nii.ac.jp
GeoSoCa | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動
検索フォームへ移動 論文・データをさがす 大学図書館の本をさがす 日本の博士論文をさがす English …

GeoSoCa: Exploiting geographical, social and categorical correlations for point-of-interest recommendations

JD Zhang, CY Chow - 38th Annual ACM SIGIR Conference on …, 2015 - scholars.cityu.edu.hk
Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …

[PDF][PDF] GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations

JD Zhang, CY Chow - scholar.archive.org
Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …