SEARCH ENGINES & SEARCHING

The most immediate context for a search query is a search session, a sequence of activities the searcher performs in order to pursue an…

Machine Learning

Transparent metasearch engine in Swiss quality. Simultaneously queries major search engines with one click.

On the surface, using a voice interface for search doesn’t seem that different from typing text into a search box.

Search autocomplete features are provided at 80% of e-commerce sites, yet only 19% achieve the highest performance. See our latest large-scale test findings for on-site search.

When we talk about search, we have traditionally thought in terms of search results being documents or products. Searchers, however…

Introduction

In this blog, we explore what makes search distinct from other machine learning problems. How does one approach search ranking as a machine learning problem? We go through a couple of approaches that give you an intuition on how to evaluate a learning to rank method.

Many search engines don’t index “stopwords”, words that are very common and have little meaning by themselves. The stopword list is often just the most frequent words in the langu…

We’ll be focusing on the algorithms or techniques that we used to convert the corpus into a full fledged autocomplete suggester.

Should you use your query logs or your documents to build an autosuggest corpus?

Five years ago, I wrote an article called What is Search Relevance?. Back then, I had to shout to convince people to even notice whether search results were accurate...

I failed doing search alone. But reflection revealed why!

Spelling correction is a must-have for any modern search engine. Estimates of the fraction of misspelled search queries vary, but a variety…

The best search experiences feel like they’re one step ahead of you. Create well-crafted search that leaves people feeling confident and satisfied

Metadata simply means data which describes other data. Examples of metadata are index, catalog, table of contents, tags, labels etc…

We unwrap the mystery behind two popular search relevance metrics nDCG and ERR through visualization, and discuss their pros and cons.

Similarity ranking (relevancy) in Elasticsearch relates directly to the amount of shards in your index. Learn more about how shards and relevancy are related, as well what you should consider when tun...

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In 1964, information science pioneer William Goffman said:

Supercharge your search box with Statistics, Supervised Learning, Bayesian Inference, PCA, Clustering, Word Embeddings, and more! Oh my!

Listing Embeddings for Similar Listing Recommendations and Real-time Personalization in Search Ranking

Web Search Engine, featuring more than 500 million free, featured and paid inclusion site listings.

Behavioral metrics for search usually come from two signals: clicks and conversions. This pattern is almost universal. Almost but not quite.

We find that on e-commerce sites up to 5-12% of all search queries include a color. Yet, 54% of sites display the same static product thumbnails regardless of what color the user searched for.

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BM25 is the default similarity ranking (relevancy) algorithm in Elasticsearch. Learn more about how it works by digging into the equation and exploring the concepts behind its variables....