Fusion 4.2 for Hyper-Personalized Digital Commerce, Now Ready for Download Today the Lucidworks team is very happy to announce the release of Lucidworks Fusion 4.2, the latest version of our platform for building, deploying, and optimizing AI-powered search and data applications. Fusion 4.2 will alleviate the burden that merchandisers feel maintaining complex business rules that require constant adjustment as their business changes. Here's what's new: Predictive Merchandising Fusion 4.2 brings together several different query rewrite methods into one interface so you can provide the best possible shopping experience.
Add, Configure, and Test Business Rules: An intuitive interface makes it easier to add and modify rules and trigger specific actions as certain search queries come in. Rewrite Zero Results and Underperforming Queries: Fusion uses ML and signals to automatically identify underperforming queries and proactively suggest improved queries to the shopper. Automatically Detect and Correct Misspellings: When Fusion receives a query containing a known misspelling, it rewrites the query using the corrected spelling and returns relevant results. Find Common Phrases and Word Pairs: Phrase detection identifies phrases in shopper signals and then uses intelligence from those signals to boost results from matching phrases. Automatically Detect and Augment Synonyms: Synonym detection replaces or augments user search terms with those already in your collection of products.
Also Built For the Digital Workplace Although we've been focusing on Fusion 4.2's powerful new predictive merchandising suite for digital commerce applications, the Query Rewriting dashboard is also fully optimized and ready for deployment for your internal search and data apps that help your employees collaborate and serve customers more productively. The same ML and business rule features in 4.2 benefit those Digital Workplace use cases in the same ways they improve Digital Commerce. New NLP and Deep Learning Capabilities We've introduced new natural language processing index and query annotator stages, leveraging the popular open source John Snow library to allow our customers to perform named entity recognition (NER), sentence detection, and parts-of-speech (POS) tagging. Fusion 4.2 also introduces new deep learning capabilities by integrating with Google's popular TensorFlow library, enabling Fusion to use pre-trained TensorFlow models to calculate runtime predictions such as sentiment analysis within query and indexing pipelines. Improved DevOps Center Our customers working in DevOps want to rapidly implement multiple use cases for highly complex data and search applications on the Fusion platform. Fusion's new DevOps Center delivers that functionality and makes sophisticated management, monitoring, and debugging capabilities available through an intuitive, easy to use UI. Through dedicated dashboards, DevOps teams can monitor the entire cluster, or drill down on the performance of specific hosts, services, or data sources. A log viewer supports full export for further analysis. And More Updates to our library of connectors and data sources include new versions of Dropbox, SharePoint, OneDrive, JDBC, and a new Sitecore connector for indexing content managed with the popular CMS. More detail on the blog. Fusion 4.2 works with Apache Solr versions 7.5 or later and Apache Spark 2.3 or later.
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