Name
Abstract | ||
|---|---|---|
AbstractVenue categories used in location-based social networks often exhibit a hierarchical structure, together with the category sequences derived from users’ check-ins. The two data modalities provide a wealth of information for us to capture the semantic relationships between those categories. To understand the venue semantics, existing methods usually embed venue categories into low-dimensional spaces by modeling the linear context (i.e., the positional neighbors of the given category) in check-in sequences. However, the hierarchical structure of venue categories, which inherently encodes the relationships between categories, is largely untapped. In this article, we propose a venue Category Embedding Model named Hier-CEM, which generates a latent representation for each venue category by embedding the Hierarchical structure of categories and utilizing multiple types of context. Specifically, we investigate two kinds of hierarchical context based on any given venue category hierarchy and show how to model them together with the linear context collaboratively. We apply Hier-CEM to three tasks on two real check-in datasets collected from Foursquare. Experimental results show that Hier-CEM is better at capturing both semantic and sequential information inherent in venues than state-of-the-art embedding methods. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1145/3478285 | ACM Transactions on Information Systems |
Keywords | DocType | Volume |
Venue category representation, hierarchical category structure, multiple context types, check-in data | Journal | 40 |
Issue | ISSN | Citations |
3 | 1046-8188 | 0 |
PageRank | References | Authors |
0.34 | 25 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng Chen | 1 | 6 | 2.24 |
| Lei Zhu | 2 | 854 | 51.69 |
| Ronghui Xu | 3 | 0 | 0.68 |
| Yang Liu | 4 | 220 | 18.35 |
| Xiaohui Yu | 5 | 869 | 64.75 |
| Yilong Yin | 6 | 600 | 42.06 |