We are going to deep into the search logic of the Oro Commerce, see what are the common features and requirements, and how to implement them using Elasticsearch. We will cover search boosting, synonym management, fuzzy search, and discuss an overall approach for search customization.

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www.oroinc.com
Oro Tech Talks:
Advanced Search
with Elasticsearch

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About Me
Yevhen Shyshkin
10+ years experience in
E-Commerce development
Architectural Advisor
Project Lead
Technical Trainer
Search Component Lead
twitter.com/yshyshkin github.com/yshyshkin
aspirationandadvisory.com

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What is Advanced Search?
Make results more relevant
Discover user preferences
Improve user experience
Tolerate errors and typos
And your any other wish…

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Elasticsearch: Advanced Search Tool
Search engine based on Lucene
NoSQL DBMS
Extensive search capabilities
Software and hardware tuning
Cluster support
Good for Big Data
Multiple clients: Java, C#, PHP, Python

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Elasticsearch in OroCommerce
Relevance boost
Synonyms
Error-tolerance
Search fine tuning
Autocomplete
Faceted search
Customization
+

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Relevance Boost: Theory
Full-text search
Search score (rating)
Default sorting
Show relevant result first
Boost increases score
Promote specific results

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Relevance Boost: Implementation
"should": [
{
"match": {
"sku.analyzed": {
"query": "lamp",
"operator": "or",
"boost": 5
}
}
},
{
"match": {
"sku.analyzed_exact_match": {
"query": "lamp",
"operator": "or",
"boost": 50
}
}
}
]
Multi-fields >>
Different analyzers >>
Boolean query >>

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Relevance Boost: Examples
Boost by exact match >>
Boost by entity name >>
Boost by product attributes >>
Boost by customer history >>
How to use them together

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Relevance Boost: What’s next?
Customer segment preferences
Machine learning
Pricing
Inventory
Reviews

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Synonyms: Use Cases
Synonyms
Abbreviations
Suggestions
Typos
Mistakes
Slang

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Synonyms: Implementation
Search analyzer
Synonym filter >>
Refresh index settings >>
Direction of replacement
"filter": {
"synonym": {
"type": "synonym_graph",
"synonyms": [
"light, сяйво",
"cabinet, комод"
]
},
"wordsplit_lowercase_synonym": {
"type": "multiplexer",
"filters": [
"wordsplit, lowercase",
"lowercase, synonym"
]
}
},
"analyzer": {
"fulltext_search_analyzer": {
"filter": [
"wordsplit_lowercase_synonym",
"unique"
],
"tokenizer": "whitespace"
}
}

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Synonyms: Examples
Bidirectional synonyms
Unidirectional synonyms
Regular abbreviations
Word shortening

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Error-tolerance: Basics
Tolerage minor errors
Ignore typos
Not an autocorrection

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Error-tolerance: Implementation
Fuzzy matching >>
One or two errors per word >>
The first letter is always correct
Minimum word length >>
Exclusion pattern >>
{
"match": {
"all_text_1.analyzed": {
"query": "ligt",
"operator": "and",
"boost": 1,
"fuzziness": 1,
"prefix_length": 1
}
}
},
{
"match": {
"all_text_1.analyzed": {
"query": "bubl",
"operator": "and",
"boost": 1,
"fuzziness": 1,
"prefix_length": 1
}
}
}

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Error-tolerance: Examples
Typos
One or two errors
Exclude SKU

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Customization: Basics
Data level
Query level

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Customization: Data Level
Add new data
New field
Global search text field
Events
PrepareEntityMapEvent >>
IndexEntityEvent >>

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Customization: Query Level
Request builders >>
Decorate existing builder
Create new builder
Events
BeforeSearchEvent (standard) >>
BeforeSearchEvent (website) >>

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Documentation
Search index architecture >>
Fine-tuning >>
Elasticsearch guide >>
Elasticsearch forum >>

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Q&A