Daniel TunkelangQuery SpecificitySearch intents vary in specificity. This post describes a query specificity measure inspired by variance, using the bag-of-documents model.7 min read·Jan 10, 2024--2--2
Daniel TunkelangQuery SimilarityA search engine’s first job is inferring intents from queries. Queries with equivalent intent should yield equivalent representations.6 min read·Oct 24, 2022----
Daniel TunkelangQuery Understanding and ChatbotsIn this series, I’ve focused on the context of traditional search applications, which are the main beneficiaries of better query…3 min read·Jun 14, 2018--1--1
Daniel TunkelangQuery Understanding and Voice InterfacesOn the surface, using a voice interface for search doesn’t seem that different from typing text into a search box.2 min read·May 29, 2018----
Daniel TunkelangQuestion AnsweringWhen we talk about search, we have traditionally thought in terms of search results being documents or products. Searchers, however…4 min read·May 1, 2018----
Daniel TunkelangSearch Results ClusteringSearch queries that express broad intent often return intractably large result sets. We’ve already discussed faceted search as a way to…3 min read·Apr 16, 2018----
Daniel TunkelangSearch Result SnippetsSearch result snippets, also known as query-biased summaries, are the additional context included with each result on the search results…3 min read·Mar 12, 2018----
Daniel TunkelangSearch Results PresentationUntil now, we’ve mostly focused on query processing — which is to be expected, given that this series is about query understanding. But…2 min read·Feb 21, 2018----
Daniel TunkelangFaceted SearchFaceted search is a topic broad enough to deserve its own book. It has become a standard feature of all modern search engines, including…5 min read·Jan 24, 2018--2--2
Daniel TunkelangRelevance FeedbackThe idea of modeling search as a conversation has been around for decades. One of the oldest ideas in information retrieval is relevance…4 min read·Jan 3, 2018--1--1
