the-algorithm/src/thrift/com/twitter/simclusters_v2/abuse.thrift
twitter-team bb095608b7 [minor] Fix grammar + typo issues
Closes #557, closes #678, closes #748, closes #806, closes #818, closes #842, closes #866, closes #948, closes #1024, closes #1313, closes #1458, closes #1461, closes #1465, closes #1491, closes #1503, closes #1539, closes #1611
2023-04-04 16:13:24 -05:00

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2.4 KiB
Thrift

namespace java com.twitter.simclusters_v2.thriftjava
namespace py gen.twitter.simclusters_v2
#@namespace scala com.twitter.simclusters_v2.thriftscala
#@namespace strato com.twitter.simclusters_v2
include "embedding.thrift"
include "simclusters_presto.thrift"
/**
* Struct that associates a user with simcluster scores for different
* interaction types. This is meant to be used as a feature to predict abuse.
*
* This thrift struct is meant for exploration purposes. It does not have any
* assumptions about what type of interactions we use or what types of scores
* we are keeping track of.
**/
struct AdhocSingleSideClusterScores {
1: required i64 userId(personalDataType = 'UserId')
// We can make the interaction types have arbitrary names. In the production
// version of this dataset. We should have a different field per interaction
// type so that API of what is included is more clear.
2: required map<string, embedding.SimClustersEmbedding> interactionScores
}(persisted="true", hasPersonalData = 'true')
/**
* This is a prod version of the single side features. It is meant to be used as a value in a key
* value store. The pair of healthy and unhealthy scores will be different depending on the use case.
* We will use different stores for different user cases. For instance, the first instance that
* we implement will use search abuse reports and impressions. We can build stores for new values
* in the future.
*
* The consumer creates the interactions which the author receives. For instance, the consumer
* creates an abuse report for an author. The consumer scores are related to the interaction creation
* behavior of the consumer. The author scores are related to the whether the author receives these
* interactions.
*
**/
struct SingleSideUserScores {
1: required i64 userId(personalDataType = 'UserId')
2: required double consumerUnhealthyScore(personalDataType = 'EngagementScore')
3: required double consumerHealthyScore(personalDataType = 'EngagementScore')
4: required double authorUnhealthyScore(personalDataType = 'EngagementScore')
5: required double authorHealthyScore(personalDataType = 'EngagementScore')
}(persisted="true", hasPersonalData = 'true')
/**
* Struct that associates a cluster-cluster interaction scores for different
* interaction types.
**/
struct AdhocCrossSimClusterInteractionScores {
1: required i64 clusterId
2: required list<simclusters_presto.ClustersScore> clusterScores
}(persisted="true")