Google-like search engine query in node.js

Elastic Stack Elasticsearch
1

I am trying to build a search engine like search tool, similar to Google using the node.js client of elasticsearch.

Here is an example document:

{
  title: "Audits of Alberta Energy Regulator Expose a Broken Agency",
  url: "http://ipsum.com/alberta-energy-regulator-audits",
  content "Aenean eu leo quam. Pellentesque ornare sem lacinia quam venenatis vestibulum. Etiam porta sem malesuada magna mollis euismod. Donec ullamcorper nulla non metus auctor fringilla. Nulla vitae elit libero, a pharetra augue...."
  domainAuthorty: 23,
  pageRank: 16,
  spamScore: 5,
  manualOffset: -5,
  publishDate: 2020-05-19
}
  • title: should have a high boost
  • url: should have a high boost
  • content: should have a medium boost based on full text
  • domainAuthorty: should have a medium
  • pageRank: should have a high boost
  • spamScore: should have a high negative boost
  • manualOffset: should have a high positive or negative boost
  • publishDate: newer docs should have a low positive boost

domainAuthorty, pageRank, spamScore, manualOffset will change periodically, the other fields are static

The content field is a full text article and the only field that needs full-text support.

So far I have a basic search working:

results = await await client.search({
  index: index,
  body: {
query: {
  function_score: {
    query: { match_all: {} },
    boost: "5",
    functions: [
      {
        filter: { match: { title: term } },
        // random_score: {},
        weight: 42,
      },
      {
        filter: { match: { content: term } },
        weight: 10,
      }
    ],
    max_boost: 42,
    score_mode: "max",
    boost_mode: "multiply",
    min_score: 42,
  },
},
  },
});

However this doesn't take in to account all of the factors. I'm not sure which type of query would be the best option?

2

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