際際滷shows by User: detnavillus / http://www.slideshare.net/images/logo.gif 際際滷shows by User: detnavillus / Fri, 13 Apr 2018 18:36:49 GMT 際際滷Share feed for 際際滷shows by User: detnavillus Haystacks slides /slideshow/haystacks-slides/93827181 haystacksslides-180413183649
his talk will feature some of my recent research into the alternative uses for Solr facets and facet metadata. I will develop the idea that facets can be used to discover similarities between items and attributes in a search index, and show some interesting applications of this idea. A common takeaway is that using facets and facet metadata in non-conventional ways enables the semantic context of a query to be automatically tuned. This has important implications for user-centric and semantically focused relevance.]]>
his talk will feature some of my recent research into the alternative uses for Solr facets and facet metadata. I will develop the idea that facets can be used to discover similarities between items and attributes in a search index, and show some interesting applications of this idea. A common takeaway is that using facets and facet metadata in non-conventional ways enables the semantic context of a query to be automatically tuned. This has important implications for user-centric and semantically focused relevance.]]> Fri, 13 Apr 2018 18:36:49 GMT /slideshow/haystacks-slides/93827181 detnavillus@slideshare.net(detnavillus) Haystacks slides detnavillus his talk will feature some of my recent research into the alternative uses for Solr facets and facet metadata. I will develop the idea that facets can be used to discover similarities between items and attributes in a search index, and show some interesting applications of this idea. A common takeaway is that using facets and facet metadata in non-conventional ways enables the semantic context of a query to be automatically tuned. This has important implications for user-centric and semantically focused relevance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/haystacksslides-180413183649-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> his talk will feature some of my recent research into the alternative uses for Solr facets and facet metadata. I will develop the idea that facets can be used to discover similarities between items and attributes in a search index, and show some interesting applications of this idea. A common takeaway is that using facets and facet metadata in non-conventional ways enables the semantic context of a query to be automatically tuned. This has important implications for user-centric and semantically focused relevance.
Haystacks slides from Ted Sullivan
]]> 547 4 https://cdn.slidesharecdn.com/ss_thumbnails/haystacksslides-180413183649-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The well tempered search application /slideshow/the-well-tempered-search-application/44876234 thewelltemperedsearchapplication-150219065138-conversion-gate01
Describes techniques for injecting "Semantic Intelligence" into search applications. Focuses on Apache Solr and Lucidworks Fusion, but these techniques are generally applicable to any search engine because all of them use the same basic mechanism - inverted token mapping at their 'core'.]]>
Describes techniques for injecting "Semantic Intelligence" into search applications. Focuses on Apache Solr and Lucidworks Fusion, but these techniques are generally applicable to any search engine because all of them use the same basic mechanism - inverted token mapping at their 'core'.]]> Thu, 19 Feb 2015 06:51:38 GMT /slideshow/the-well-tempered-search-application/44876234 detnavillus@slideshare.net(detnavillus) The well tempered search application detnavillus Describes techniques for injecting "Semantic Intelligence" into search applications. Focuses on Apache Solr and Lucidworks Fusion, but these techniques are generally applicable to any search engine because all of them use the same basic mechanism - inverted token mapping at their 'core'. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thewelltemperedsearchapplication-150219065138-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Describes techniques for injecting &quot;Semantic Intelligence&quot; into search applications. Focuses on Apache Solr and Lucidworks Fusion, but these techniques are generally applicable to any search engine because all of them use the same basic mechanism - inverted token mapping at their &#39;core&#39;.
The well tempered search application from Ted Sullivan
]]> 1514 3 https://cdn.slidesharecdn.com/ss_thumbnails/thewelltemperedsearchapplication-150219065138-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-detnavillus-48x48.jpg?cb=1523644573 Provide consulting services around Apache Solr and Lucidworks Fusion. I have also been involved in solving problems for clients and helping to move those solutions into the Fusion product. https://cdn.slidesharecdn.com/ss_thumbnails/haystacksslides-180413183649-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/haystacks-slides/93827181 Haystacks slides https://cdn.slidesharecdn.com/ss_thumbnails/thewelltemperedsearchapplication-150219065138-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-well-tempered-search-application/44876234 The well tempered sear...