Preveja as compras dos visitantes usando um modelo de classificação no BigQuery ML avaliações

Daeun L. · Revisado há almost 5 years

Sangseon R. · Revisado há almost 5 years

Query was incorrect in hands - on lab ! WITH all_visitor_stats AS ( SELECT fullvisitorid, IF(COUNTIF(totals.transactions > 0 AND totals.newVisits IS NULL) > 0, 1, 0) AS will_buy_on_return_visit FROM `data-to-insights.ecommerce.web_analytics` GROUP BY fullvisitorid ) # add in new features SELECT * EXCEPT(unique_session_id) FROM ( SELECT CONCAT(fullvisitorid, CAST(visitId AS STRING)) AS unique_session_id, # labels will_buy_on_return_visit, MAX(CAST(h.eCommerceAction.action_type AS INT64)) AS latest_ecommerce_progress, # behavior on the site IFNULL(totals.bounces, 0) AS bounces, IFNULL(totals.timeOnSite, 0) AS time_on_site, IFNULL(totals.pageviews, 0) AS pageviews, # where the visitor came from trafficSource.source, trafficSource.medium, channelGrouping, # mobile or desktop device.deviceCategory, # geographic IFNULL(geoNetwork.country, "") AS country FROM `data-to-insights.ecommerce.web_analytics`, UNNEST(hits) AS h JOIN all_visitor_stats USING(fullvisitorid) WHERE 1=1 # only predict for new visits AND totals.newVisits = 1 AND date BETWEEN '20160801' AND '20170430' # train 9 months GROUP BY unique_session_id, will_buy_on_return_visit, bounces, time_on_site, totals.pageviews, trafficSource.source, trafficSource.medium, channelGrouping, device.deviceCategory, geoNetwork.country)

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