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