--- title: Recommender Reviews meta_title: 'Recommender Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 13 reviews by the users' company size, role or industry to find out how Recommender works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 13 scale: '5' date_modified: '2026-08-09' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Recommender Reviews **Vendor:** Google **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.5/5.0 **Total Reviews:** 13 ## About Recommender Recommender is a tool that analyzes the the feedback of some users (implicit and explicit) and their preferences for some items to learns patterns and predicts the most suitable products for a particular user. ## Recommender Reviews ### 1. Personalized Recommendations That Boost Discovery and Engagement **Rating:** 4.0/5.0 stars **Reviewed by:** LOKESH G. | Engineer.SGB TCS-FS CORE BANKING,Production, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** August 06, 2026 **What do you like best about Recommender?** What I value most about Recommender is its ability to deliver actionable, data-driven recommendations that help optimize cloud resources and configurations. It makes it much easier to spot opportunities to improve performance, cut unnecessary costs, and strengthen security, without having to manually analyze every single resource. **What do you dislike about Recommender?** The initial setup and fine-tuning can take a while, particularly when you’re working with large or complex datasets. The quality of the recommendations also depends heavily on having enough accurate user data, and when that data is limited, the results can end up feeling less relevant. **What problems is Recommender solving and how is that benefiting you?** Recommender helps us deliver personalized recommendations based on user behavior and preferences, rather than relying on manual rules. As a result, content and product discovery are better, user engagement increases, and our team saves time because the personalization process is automated. ### 2. Recommended **Rating:** 4.0/5.0 stars **Reviewed by:** Sheetal T. | Senior Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** June 27, 2022 **What do you like best about Recommender?** Recommendations saved for almost everything - music, books, movies, apps, etc. You can also share it with your friends through email or is much more direct if the other person has Recommender instance too. **What do you dislike about Recommender?** Needs huge data to make a recommendation. App recommendation changes with fashion which can cause problem. It's a complex system and not easy to give an accurate recommendation. **What problems is Recommender solving and how is that benefiting you?** Based on our inputs, it gives us the respective information. Time saving since we don't have to check manually for all the recommendations. ### 3. Nice **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** June 13, 2018 **What do you like best about Recommender?** I like that it helps based on my preferences **What do you dislike about Recommender?** Not all of the suggestions feel relevant **What problems is Recommender solving and how is that benefiting you?** made it easier to find things I need ## Recommender Discussions - [What is Recommender used for?](https://www.g2.com/discussions/what-is-recommender-used-for) - [View Recommender pricing details and edition comparison](https://www.g2.com/products/recommender/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+20%3A47%3A29+-0500&secure%5Bsession_id%5D=bbc305c7-99f2-4d51-90b2-c769dfe65833&secure%5Btoken%5D=ca6ffa065ad25ad311d1c3f68cacc0aa58e2c52b431db8a1457ffffbb4d2d157&format=llm_user) ## Recommender Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Integration - Machine Learning** - Integration - Third-Party Integrations **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Additional Functionality** - Predictive Modeling - Configurable Workflow - Tagging - Data Import/Export - API - Predictive Analytics - Data Visualization - Endpoint Management - Multiple Data Sources - No-Code - Data Preparation - Auditing - Collaboration Tools - Big Data Analytics - ML Algorithm Library - Data Management - Activity Dashboard - Data Capture and Transfer - Activity Tracking - Data Connectors - Data Security - Data Extraction - Reporting & Statistics - Workflow Management - AI Copilot ## Top Recommender Alternatives - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,062 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,941 reviews) - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,292 reviews)