Legacy Product

Fusion 5.10
    Fusion 5.10

    Machine Learning Jobs

    Fusion AI provides these job types to perform machine learning tasks.

    Signals analysis

    These jobs analyze a collection of signals in order to perform query rewriting, signals aggregation, or experiment analysis.

    • Ground Truth

      Estimate ground truth queries using click signals and query signals, with document relevance per query determined using a click/skip formula.

    Query rewriting

    These jobs produce data that can be used for query rewriting or to inform updates to the synonyms.txt file.

    • Head/Tail Analysis

      Perform head/tail analysis of queries from collections of raw or aggregated signals, to identify underperforming queries and the reasons. This information is valuable for improving overall conversions, Solr configurations, auto-suggest, product catalogs, and SEO/SEM strategies, in order to improve conversion rates.

    • Phrase Extraction

      Identify multi-word phrases in signals.

    • Token and Phrase Spell Correction

      Detect misspellings in queries or documents using the numbers of occurrences of words and phrases.

    Signals aggregation

    Experiment analysis

    • Ranking Metrics

      Calculate relevance metrics (nDCG and so on) by replaying ground truth queries against catalog data using variants from an experiment.

    • SQL-Based Experiment Metric (deprecated)

      This job is created by an experiment in order to calculate an objective.

      SQL-Based Experiment Metric job is deprecated as of Fusion AI 4.0.2.

    Collaborative recommenders

    These jobs analyze signals and generate matrices used to provide collaborative recommendations.

    Content-based recommenders

    Content-based recommenders create matrices of similar items based on their content.

    Content analysis

    Data ingest

    • Parallel Bulk Loader

      The Parallel Bulk Loader (PBL) job enables bulk ingestion of structured and semi-structured data from big data systems, NoSQL databases, and common file formats like Parquet and Avro.

    Legacy machine learning jobs

    • Legacy Item Recommender

      Compute user recommendations based on a pre-computed item similarity model.

    • Legacy Item Similarity

      Use this job when you only want to compute item-to-item similarities. This method is more lightweight than the generic Recommendations job.

      Legacy Item Similarity job is deprecated as of Fusion AI 4.1.0. Use the ALS recommender job instead.