---
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. Honest, Constructive Feedback with Clear, Specific Examples

**Rating:** 4.5/5.0 stars

**Reviewed by:** Nikhil N. | Software Developer 2, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 25, 2026

**What do you like best about Recommender?**

It provides hones and constructive feedback for most of the cases of candidate skill and knowledge and gives exact examples rather than generic results

**What do you dislike about Recommender?**

It’s a very good product but sometimes it seems have limited exposer of candidate and may not provide area of improvement

**What problems is Recommender solving and how is that benefiting you?**

Recommender helps me discover relevant options quickly by filtering out unnecessary information and providing personalized suggestions. This saves me time, improves decision-making, and helps me find solutions that better match my needs. As a result, I spend less effort searching and more time acting on high-quality recommendations.

  ### 3. Super one!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Bhargava A. | Senior Structural Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 21, 2022

**What do you like best about Recommender?**

It's an awesome service available right now as here we can easily get the softwares we want easily and effortlessly as here it will show the various advantages and the disadvantages of all the softwares which even it includes pricing details also as it sounds cool as it will saves our precious time.

**What do you dislike about Recommender?**

Even though it have many advantages it have only minor or very small disadvantage or dislike as it's indexing in not that much great as sometimes it won't show desired results what we were expecting and that too sometimes not all the times.

**What problems is Recommender solving and how is that benefiting you?**

As before we don't know that where to buy softwares and what will be the total cost that will be included before purchasing software as it carved our path and it recommended a software for our daily cores in our workplace and that's it it had made our work awesomely easy,thanks for that.

  ### 4. Great analytics tool for analysing feedbacks and patterns

**Rating:** 4.5/5.0 stars

**Reviewed by:** PRANAV S. | Head - PMO - Managed Detection and Response Group, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 26, 2022

**What do you like best about Recommender?**

Helps reduce manual work while analysing feedback and gives great insights with the help of machine learning. The correlation patterns helps in quick analysis.

**What do you dislike about Recommender?**

Nothing really to highlight. Works as expected. However there are many alternatives out there.

**What problems is Recommender solving and how is that benefiting you?**

Saves time by eliminating manual analysis
Great insights into helping users make the right product choices. 
Easy to integrate and saves a lot of time and cost as it is open source.

  ### 5. New review for recommender

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sachin R. | Advanced Consultant, Enterprise (> 1000 emp.)

**Reviewed Date:** September 29, 2022

**What do you like best about Recommender?**

It is really useful for services that provide recommendations and insights for using resources on Google Cloud

**What do you dislike about Recommender?**

It can be more of AI integrated so that it is easy for non-tech people also to use it.

**What problems is Recommender solving and how is that benefiting you?**

I am not a AI developer so not sure what to suggest

  ### 6. Best insight provider

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ankit U. | Member, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 28, 2022

**What do you like best about Recommender?**

It uses AI, ML, and current resource usage before recommending anything on Google cloud.

**What do you dislike about Recommender?**

There's nothing to be disliked. But, not a lot of people know about this.

**What problems is Recommender solving and how is that benefiting you?**

Even if one doesn't have prior experience choosing any resource on Google Cloud. With recommender, one can get a really nice idea of what to choose. 
I was helped over the same thing.

  ### 7. Very good experience of using Recommender

**Rating:** 4.5/5.0 stars

**Reviewed by:** Prashant S. | Senior Technical Recruiter, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 28, 2022

**What do you like best about Recommender?**

I have used this tool very often because of its unique services and user-friendly interface.

**What do you dislike about Recommender?**

Sometimes it is not accepting the right person reccomdation.

**What problems is Recommender solving and how is that benefiting you?**

It is easy to recommend many things by using this tool, and it has so many options and variety of content.

  ### 8. 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.

  ### 9. Gorse is a really good open source recommendation system

**Rating:** 4.5/5.0 stars

**Reviewed by:** Anwar V. | S, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 08, 2022

**What do you like best about Recommender?**

Gorse has a multisource recommender and can do CTR Prediction

**What do you dislike about Recommender?**

Setting up is a little difficult, but the results are worth the effort

**What problems is Recommender solving and how is that benefiting you?**

It helps customers to suggest things based on their past behavior using machine learning.

  ### 10. Review

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jaybeer B. | Engineering Recruiter, Staffing and Recruiting, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 20, 2022

**What do you like best about Recommender?**

Very easy to use.
It is helpful to maintain doc and data.

**What do you dislike about Recommender?**

I don't think there is any unuseful tools.

**What problems is Recommender solving and how is that benefiting you?**

Compares the data ana maintains for the long term.

  ### 11. Data Analysis Tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.)

**Reviewed Date:** July 13, 2022

**What do you like best about Recommender?**

Data output format and the customized reports for target marketing.

**What do you dislike about Recommender?**

We didn't face any issues with this tool. So no dislikes.

**What problems is Recommender solving and how is that benefiting you?**

It helped in data analysis for digital marketing, ATL, BTL and TTL.

  ### 12. Recommender Review

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 13, 2022

**What do you like best about Recommender?**

Accurate analytics, way of data presentation, etc.

**What do you dislike about Recommender?**

Nothing as of now. Its a good tool to analyse various data.

**What problems is Recommender solving and how is that benefiting you?**

Data analysis for various tasks of the organisation. Its helping in targetted digital marketing.

  ### 13. 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?section=pricing&secure%5Bexpires_at%5D=2026-08-15+19%3A44%3A59+-0500&secure%5Bsession_id%5D=219b7b19-2932-4880-b232-88f2e2bf4c73&secure%5Btoken%5D=fee91c865e821942eaf0c6b6395e219b2dabdf074e10a03254d0bce6e43697ed&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
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