"ZETA RECOMMEND" Multi-Angle Recommendation Now Supports Display of Reviews and Q&A
ZETA Inc. announced that its AI recommendation engine "ZETA RECOMMEND" now supports displaying reviews and Q&A in its "Multi-Angle Recommendation" feature. This allows users to compare and consider products based on User Generated Content (UGC), including actual purchaser evaluations and Q&A, thereby enhancing customer experience.
📋 Article Processing Timeline
- 📰 Published: April 30, 2026 at 17:00
- 🔍 Collected: April 30, 2026 at 08:31
- 🤖 AI Analyzed: April 30, 2026 at 09:06 (35 min after Collected)
ZETA Inc. (Headquarters: Setagaya-ku, Tokyo; hereinafter ZETA), which provides the CX improvement generative AI solution "ZETA CX Series" and supports the enhancement of customer experience value, announced that its AI recommendation engine "ZETA RECOMMEND" has newly enabled the display of reviews and Q&A in its "Multi-Angle Recommendation" feature.
With this update, in addition to traditional perspectives such as personalized recommendations, trends, and hashtags, it is now possible to display recommendations primarily based on User Generated Content (UGC), including evaluations from actual purchasers like reviews and Q&A.
Specifically, it becomes possible to set up a section for displaying reviews and Q&A on the digital shelf. In this review and Q&A section, multiple product reviews and Q&A can be continuously displayed horizontally with UX elements like carousels, ordered by post date or highest rating. Furthermore, individual review and Q&A display parts can rotate vertically, allowing for continuous display of other reviews and Q&A based on the same product.
This enables users to compare and consider products not only based on their interests and usage scenarios but also taking into account other users' voices, such as usage impressions and satisfaction, leading to a more convincing digital shelf experience.
■ Background: Increasing Importance of "Reviews and Q&A" in Purchasing Decisions
In recent e-commerce markets, in addition to product discovery through search and recommendations, purchasing decisions based on UGC such as reviews and Q&A have become common. Especially with the spread of generative AI and conversational UIs, users can now explore products by concretizing their needs through dialogue, even with vague requirements. This has increased the importance of proposals based on actual users' evaluations and impressions, in addition to product specifications and popularity.
Against this background, ZETA has enabled "ZETA RECOMMEND"'s "Multi-Angle Recommendation" to support product display utilizing reviews and Q&A, in addition to traditional hashtags, popularity, personalization, and trends. This allows for product suggestions aligned with user interests and intentions, such as "I want to see highly-rated products," "I want to compare products with high satisfaction in terms of usability," or "I want to choose a product while resolving pre-purchase questions." Furthermore, by incorporating reviews and Q&A from the product suggestion stage, users can proceed with comparison and consideration not only understanding "which product suits me" but also "why it was chosen."
Moreover, by newly adding a section to display reviews and Q&A in "Multi-Angle Recommendation," ZETA has realized an experience that makes it easy to navigate between product comparison and product understanding. With product suggestions based on "Reviews and Q&A" added to perspectives like "Recommended for you," "Popular," and "Trending," the scope of comparison expands. Users can now deepen their product understanding by continuously checking reviews and Q&A for products they are interested in, vertically. This provides a digital shelf experience that integrates exploration and decision-making.
■ "Multi-Angle Recommendation" Expanded by Reviews and Q&A Support
1. Realizing a new comparison and consideration experience based on reviews, evaluations, and Q&A
By displaying recommendations utilizing reviews and Q&A, it is now possible to compare products based on actual purchasers' voices, in addition to product data and popularity information. This enables users to compare products while imagining their post-purchase usage experience, making it easier to choose products that suit them on the digital shelf.
2. Realizing a digital shelf that deepens comparison and understanding through reviews and Q&A
"Multi-Angle Recommendation" is characterized by its ability to present product groups from multiple perspectives such as popularity, trends, hashtags, and personalization. With this update, users can now compare recommended products based on reviews and Q&A horizontally, while continuously checking evaluations and answers about those products vertically. This allows users to deepen their understanding of product purchase reasons and usage impressions on the spot while comparing products, leading to a more convincing comparison and consideration.
3. Further expanding the scope of product discovery on the digital shelf
By offering product suggestions based on review ratings, actual user feedback, and answers to pre-purchase questions, it becomes easier to discover products from perspectives that are hard to see with just popularity or trends, further expanding the scope of product discovery on the digital shelf.
With this update, in addition to traditional perspectives such as personalized recommendations, trends, and hashtags, it is now possible to display recommendations primarily based on User Generated Content (UGC), including evaluations from actual purchasers like reviews and Q&A.
Specifically, it becomes possible to set up a section for displaying reviews and Q&A on the digital shelf. In this review and Q&A section, multiple product reviews and Q&A can be continuously displayed horizontally with UX elements like carousels, ordered by post date or highest rating. Furthermore, individual review and Q&A display parts can rotate vertically, allowing for continuous display of other reviews and Q&A based on the same product.
This enables users to compare and consider products not only based on their interests and usage scenarios but also taking into account other users' voices, such as usage impressions and satisfaction, leading to a more convincing digital shelf experience.
■ Background: Increasing Importance of "Reviews and Q&A" in Purchasing Decisions
In recent e-commerce markets, in addition to product discovery through search and recommendations, purchasing decisions based on UGC such as reviews and Q&A have become common. Especially with the spread of generative AI and conversational UIs, users can now explore products by concretizing their needs through dialogue, even with vague requirements. This has increased the importance of proposals based on actual users' evaluations and impressions, in addition to product specifications and popularity.
Against this background, ZETA has enabled "ZETA RECOMMEND"'s "Multi-Angle Recommendation" to support product display utilizing reviews and Q&A, in addition to traditional hashtags, popularity, personalization, and trends. This allows for product suggestions aligned with user interests and intentions, such as "I want to see highly-rated products," "I want to compare products with high satisfaction in terms of usability," or "I want to choose a product while resolving pre-purchase questions." Furthermore, by incorporating reviews and Q&A from the product suggestion stage, users can proceed with comparison and consideration not only understanding "which product suits me" but also "why it was chosen."
Moreover, by newly adding a section to display reviews and Q&A in "Multi-Angle Recommendation," ZETA has realized an experience that makes it easy to navigate between product comparison and product understanding. With product suggestions based on "Reviews and Q&A" added to perspectives like "Recommended for you," "Popular," and "Trending," the scope of comparison expands. Users can now deepen their product understanding by continuously checking reviews and Q&A for products they are interested in, vertically. This provides a digital shelf experience that integrates exploration and decision-making.
■ "Multi-Angle Recommendation" Expanded by Reviews and Q&A Support
1. Realizing a new comparison and consideration experience based on reviews, evaluations, and Q&A
By displaying recommendations utilizing reviews and Q&A, it is now possible to compare products based on actual purchasers' voices, in addition to product data and popularity information. This enables users to compare products while imagining their post-purchase usage experience, making it easier to choose products that suit them on the digital shelf.
2. Realizing a digital shelf that deepens comparison and understanding through reviews and Q&A
"Multi-Angle Recommendation" is characterized by its ability to present product groups from multiple perspectives such as popularity, trends, hashtags, and personalization. With this update, users can now compare recommended products based on reviews and Q&A horizontally, while continuously checking evaluations and answers about those products vertically. This allows users to deepen their understanding of product purchase reasons and usage impressions on the spot while comparing products, leading to a more convincing comparison and consideration.
3. Further expanding the scope of product discovery on the digital shelf
By offering product suggestions based on review ratings, actual user feedback, and answers to pre-purchase questions, it becomes easier to discover products from perspectives that are hard to see with just popularity or trends, further expanding the scope of product discovery on the digital shelf.