From Zero to One: Building a Personalized E‑commerce Search with Easysearch

The article walks through constructing a fully personalized e‑commerce search system using Easysearch and Python Flask, detailing product modeling, behavior collection, profile building with time decay and LLM augmentation, and how to inject these signals into Elasticsearch DSL for real‑time, user‑specific ranking and recommendation.

EasysearchElasticsearchLLM

0 likes · 18 min read

From Zero to One: Building a Personalized E‑commerce Search with Easysearch

System Architect Go

Nov 2, 2020 · Backend Development

Custom Scoring in Elasticsearch Using function_score

Elasticsearch calculates a relevance score for each document, but using the function_score query you can customize this scoring by combining the original query_score with a user-defined func_score through various functions such as weight, random_score, field_value_factor, decay_function, and script_score, allowing flexible ranking based on business needs.

BackendElasticsearchcustom scoring

0 likes · 11 min read

Custom Scoring in Elasticsearch Using function_score

Tencent Cloud Developer

Jul 22, 2020 · Backend Development

Practical Optimization of Elasticsearch Search Ranking

The article explains how to systematically improve Elasticsearch search relevance by fine‑tuning Query DSL with filters, phrase matching, and boosts, incorporating static scoring via function_score, adjusting BM25 similarity parameters, and using diagnostics like _explain to iteratively achieve higher ranking quality.

BM25BoostElasticsearch

0 likes · 17 min read

Practical Optimization of Elasticsearch Search Ranking

Ctrip Technology

Jun 29, 2017 · Backend Development

Understanding Elasticsearch Scoring: Lucene Scoring Functions, Query Boosting, and Function Score Queries

This article explains how Elasticsearch computes relevance scores using Lucene's practical scoring formula, term frequency, inverse document frequency, field-length norms, and query normalization, and demonstrates query-time boosting, constant_score, function_score, decay functions, and script_score with practical DSL examples.

ElasticsearchQuery BoostingScoring

0 likes · 14 min read

Understanding Elasticsearch Scoring: Lucene Scoring Functions, Query Boosting, and Function Score Queries