Context Driven Search Ranking and Faceting - Torsten Köster, shopping24 internet group

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Lucidworks

Presented at Lucene/Solr Revolution 2017

Technologie

Context Driven Search Ranking and Faceting
Torsten Bøgh Köster
CTO, shopping24 internet group

@tboeghk
#cto, Search Technology Meetup #hamburg, #10YearsSolr, #roadbike, #landscapephotography
Torsten Bøgh Köster | torsten.koester@s24.com | @tboeghk | developer.s24.com

upfront decision
for known queries
query —> category

(1) Detect category context through
current search result inspection

represent
category context
deﬁnition
as bitset
Load JSON from
Zookeeper
Evaluate to BitSet in
newSearcher event

testing current query against
category context deﬁnitons

Build a PostFilter … QParserPlugin … Collector

(2) faceting depending
on detected context

(3) apply ranking
depending on
detected context

Change scoring
during scoring by
breaking deferring
delegation

Gets called for
each docid and
returns the scroe

Fill a bounded buffer. Decide
context upon full buffer or
finish() call

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston. In her presentation, Hedden describes the components of an enterprise knowledge graph and provides further insight into the semantic layer – or knowledge model – component, which includes an ontology and controlled vocabularies, such as taxonomies, for controlled metadata. While data experts tend to focus on the graph database components (RDF triple store or a label property graph), Hedden emphasizes they should not overlook the importance of the semantic layer.

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The UX of Automation by AJ King, Senior UX Researcher, Ocado

Enterprise Knowledge Graphs - Data Summit 2024

The Metaverse: Are We There Yet?