That said, even if you scroll through the first 1000 hits of Wikipedia search, you won’t find the article which appears first in Google. The same query on Wikipedia is unfortunately not very relevant! The first issue probably comes from a stemming algorithm or a synonym that considers “program” as the same than “programming.” In Algolia, you can have an expansion of singular/plural without polluting results with stemming by using the ignorePlurals feature, which is based on a linguistic lemmatizer.
Spotify deduplicator by name how to#
According to Google Trends, this query is as popular as the Rust programming language and seems to correspond to developers that search how to develop an algorithm with a state. To illustrate this problem, you can perform the “states programming” query on Google and Wikipedia. They are very effective for ranking documents, but they don’t handle false positives well – they push them to the bottom of the results. Among those methods, tf-idf and BM25 are the two most popular. It was inspired from the index at the end of books and gave the birth to an entire sub-genre of statistics. Searching inside large documents is probably the oldest challenge of information retrieval. Document search: state of the art and limitations This post highlights the advantages of this feature and the different challenges it represents in term of implementation. It has also considerably changed the way we recommend handling big documents like PDFs or web pages (we recommend splitting each document into several records). We introduced this feature three years ago, opening up a broad range of new use cases like the deduplication of product variants – a must-have for any eCommerce search.
One of the most unique and most-used features of Algolia is the Distinct feature: it enables developers to deduplicate records on-the-fly at query time based on one specific attribute.
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