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Nearest neighbor search (NNS), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point. Closeness is typically expressed in terms of a dissimilarity function: the less similar the objects, the larger the function values.
Nextdoor's less stringent privacy and safety policies provoked concerns among some users of Streetlife—for example, full names and street addresses are visible to all members of a Nextdoor, but not Streetlife, neighbourhood—some reporting ensuing harm, such as abusive former partner finding out a woman's current address.
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The Hierarchical navigable small world (HNSW) algorithm is a graph-based approximate nearest neighbor search technique used in many vector databases. [1] [2] Nearest neighbor search without an index involves computing the distance from the query to each point in the database, which for large datasets is computationally prohibitive.
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