Automated optimization of an advertisement placement engine

摘要

A system and method for predicting a performance of a target advertisement placement via a simulation for optimum tuning is disclosed. A simulator receives a set of queries from a production engine, selects a subset of simulation queries from the queries by filtering, modifies query parameters as needed, transmits the simulation queries to the target engine for simulation, collects search results from the target engine, and computes a summary metric, which includes data fields retrieved from the search results and quantities calculated by using a prediction model derived from a production data warehouse. The simulator may further produce a simulation report, an indicator of performance prediction for the target engine, which comprises multiple metrics for the target engine, calculated with varying engine parameters.

主权项

1. A system for tuning and optimizing an advertisement placement engine by simulation, comprising:
a memory storing a query log containing queries received from the advertisement placement engine; and one or more processors in communication with the memory, the one or more processors being configured to:
select a set of queries from the query log, each query having at least one keyword and at least one parameter value;run a search simulation for each query from the set of queries using the at least one keyword and the at least one parameter value;determine a bid value and rank for each query based on the search simulation;compute an expected cost per click for each query based on the bid value, the rank, and a click probability provided in a click through prediction model.