Recommending Interesting Activity-Related Local Entities
- Jie Tang ,
- Ryen W. White ,
- Peter Bailey
34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China |
When searching for entities with a strong local character (e.g., a museum), people may also be interested in discovering proximal activity-related entities (e.g., a café). Geographical proximity is a necessary, but not sufficient, qualifier for recommending other entities such that they are related in a useful manner (e.g., interest in a fish market does not imply interest in nearby bookshops, but interest in other produce stores is more likely). We describe and evaluate methods to identify such activity-related local entities.
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FishStore
July 29, 2019
FishStore is a new ingestion and storage layer for flexible- and fixed-schema datasets. It allows you to dynamically register complex predicates over the data, to define interesting subsets of the data. Such predicates are called PSFs (for predicated subset functions).