Runtime Collective Limited

Philip Messenger

Data characterizing a result set corresponding to a query of a social media dataset can be received. The query can include a first context including a first context identifier. The result set can include a first entity and a second entity. The first entity can include a first entity identifier and the second entity can include a second entity identifier. A key set can include a first fixed length key characterizing the first entity identifier in the first context. The key set can further include a second fixed length key characterizing the second entity identifier in the first context. The key set including the first fixed length key and the second fixed length key can be deduplicated. A first relevance score associated with the first context can be determined using the deduplicated key set. The first relevance score can be provided.

Determining relevance of entities in social media datasets

Data characterizing a query of a social media dataset can be received. The query can be executed utilizing a distributed processing cluster. The distributed processing cluster can include a plurality of nodes. At least one node can execute a first query on a partition of a tablespace storing a portion of the social media dataset. The partition can include a data source that can include a fixed width unique identifier and a stored field. The fixed width unique identifier can be associated with a respective record of the social media dataset and the stored field can include a portion of the respective record. A result of the query can be provided. Related apparatus, systems, techniques and articles are also described.

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Brighton, United Kingdom

Philip Messenger