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@@ -10,36 +10,43 @@ User Behavior Insights, or UBI, is a [data standard](standard.md) along with a c | |
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Learn more about UBI through conference presentations. If you have talked about UBI let us know so we can link your talk here, too. | ||
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* :material-link: UBI at OpenSearchCon EU 2024 - [Watch the presentation](https://www.youtube.com/watch?v=dH7SPHKpxo0&list=PLzgr9zSpws14zCETcKtCBwcOuTGMccpV9&index=32) | ||
* :material-link: UBI at Haystack Conference 2024 - [Watch the presentation](https://www.youtube.com/watch?v=QltMXXHcwTI) | ||
* :material-link: UBI at MICES 2024 - [Watch the presentation](https://youtu.be/8_4VRtMWtSY) and the [slides](https://mices.co/slides/user-behavior%20insights-mices-2024.pdf) | ||
* :material-link: UBI at Haystack EU 2024 - [Leveraging User Behavior Insights to Enhance Search Relevance](https://haystackconf.com/eu2024/talk-1/) | ||
* :material-link: UBI at OpenSearchCon EU 2024 - [Watch the presentation](https://www.youtube.com/watch?v=dH7SPHKpxo0) | ||
* :material-link: UBI at Haystack Conference 2024 - [Your Search Engine Needs a Memory! (presentation and slides)](https://haystackconf.com/us2024/talk-15/) | ||
* :material-link: UBI at MICES 2024 - [Watch the presentation](https://youtu.be/8_4VRtMWtSY) and see the [slides](https://mices.co/slides/user-behavior%20insights-mices-2024.pdf) | ||
* :material-link: UBI at Haystack EU 2024 - [Leveraging User Behavior Insights to Enhance Search Relevance (presentation and slides)](https://haystackconf.com/eu2024/talk-1/) | ||
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### Help Getting Started | ||
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For questions or help getting started, reach out to [[email protected]](mailto:[email protected]) or join us in the `#ubi` channel of the [Relevance Slack workspace](https://opensourceconnections.com/slack) and we will be glad to help! | ||
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## Purpose and Goals | ||
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Many Search teams struggle with understanding "Why is my user doing this". They have great understanding of an incoming query and the documents returned, but no ability to connect that dot with an indicator of success, such as a click through event or add to cart event. | ||
Many Search teams struggle with understanding "Why is my user doing this". They have great understanding of an incoming query and the results returned, but no ability to connect that information with an indicator of success, such as a click through event or add to cart event. | ||
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There are A LOT of tools out there for tracking events, Google Analytics, Snowplow, etc, but each is a bit different, and each tends to lock you in. None of them think about the needs of Search teams specifically either. | ||
There are many tools out there for tracking web events, e.g. Google Analytics, but each is a bit different, and each tends to focus on the general case rather than the specific needs of search teams. | ||
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The User Behavior Insights [standard](standard.md) attempts to provide a search focused standard that can operate across many platforms. There are implementations for | ||
The User Behavior Insights [standard](standard.md) attempts to provide a search focused standard that can operate across many platforms. We currently have [plugins](https://www.ubisearch.dev/tools/) for OpenSearch, Elasticsearch and Solr, but we hope that many other search platforms adopt UBI - [get in touch](mailto:[email protected]) if you'd like to help. | ||
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Once you have this tracking data, you can potentially use it to: | ||
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* develop a deeper understanding of what your users are doing | ||
* create search relevance metrics | ||
* tune search parameters automatically | ||
* balance between different approaches to search (e.g. lexical and/or semantic) | ||
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## Reference Implementation | ||
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A full reference implementation using OpenSearch is available at [chorus-opensearch-edition](https://github.com/o19s/chorus-opensearch-edition). Check out the [Quick Start](quickstart.md) for details on getting up and running with an example environment. | ||
A full reference implementation, showing UBI tracking search events on an e-commerce website, using OpenSearch is available at [chorus-opensearch-edition](https://github.com/o19s/chorus-opensearch-edition). Check out the [Quick Start](quickstart.md) for details on getting up and running with an example environment. | ||
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## Sponsored By | ||
## Sponsored & Led By | ||
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| Person | Affiliation | Contact | | ||
|-----------------------------------------------------------|-----------------------------------------------------------------|--------------------------------| | ||
| Eric Pugh | [OpenSource Connections](https://www.opensourceconnections.com) | [email protected] | | ||
| Jeff Zemerick | [Mountain Fog](https://www.jeffzemerick.dev/) | [email protected] | | ||
| Stavros Macrakis | [Amazon OpenSearch](https://www.opensearch.org/) | [email protected] | | ||
| Charlie Hull | | [email protected] | | ||
| Charlie Hull | Independent | [email protected] | | ||
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## What UBI Powers | ||
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Are you or your organization using UBI? Let us know! We'd love to hear about it and tell your success story here. | ||
Are you or your organization using UBI? Let us know! We'd [love to hear about it](mailto:[email protected]) and tell your success story here. |