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ART can handle common typographical errors, and it learns implicit synonyms. It automatically adjusts future search results, so that the best-performing content always rises to the top.ĪRT excels with popular and ambiguous queries, in which users only enter one or two terms, as well as with paragraph-sized queries expressing long descriptions. In short, the ART feature learns what search users seek and delivers it. In more detail, ART analyzes user behavior patterns from various Coveo usage analytics search visit action, such as query refining, reformulation, clicked results understand which content lead to successful outcomes. There are multiple ML models, and ANSI specifically utilizes two of them: 1. You can check multiple boxes to arrive at the search results that best serve your needs.Ĭoveo utilizes machine learning (ML) technology that continually analyzes search behavior patterns to understand which results and content lead to the best outcomes. Checking the box will refine the search results to display only the content that is tagged with the selected entry. If you need help with a specific inquiry, you can select an area of focus in this filter and find the most relevant staff person to contact.Īll filters work the same way: Once your search has generated results, the available filters will display the respective entries (e.g., topics, years), the number of search results returned for each entry, and a checkbox next to each. Areas of Focus: This filter only appears in the Staff Directory specialized search.
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Year: This filter only appears in the News and Events specialized search results and allows you to select news or events occurring only in a specific year.Content Type: This is an indication of a format/delivery mechanism for content.ANSI uses a customized taxonomy to tag content with topics so that content on similar themes is grouped and can be more easily retrieved.
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Depending on which search you used (global or specialized), all or some of the following filters will be available: Alphabetical order based on title: You can choose A-Z or Z-A.įilters allow you to refine your search results by various criteria.And because global search on also includes content from many ANSI subdomains (see "Introduction: Content Included in Search," above), the date shown with any subdomain results will indicate the date of your query (i.e., when Coveo pulled that content into – the current date), so it will not be useful.Dates may be less useful for content included on more static webpages, since the publication date will indicate when the page was last updated and published for any reason.So in the case of ANSI news articles, event listings, and certain policies and other updated documents, it may be very useful to sort your results by date. Search reults for content that is published within the main domain are displayed with their publication date.Date: This is a bit more complicated than it sounds, in terms of varying degrees of usefulness:.This index combines many indicators measuring relevance such as the click-through-ratio (low is bad), the average click rank (high is bad), and how frequently the item is queried (high frequency has more impact on relevance). Relevancy: This is the default sort, and the exact formula is part of Coveo’s secret sauce to determine the relevance of queries and items.See organic search results.Once search results are displayed, the following sorting options are displayed in the upper right corner of the page: It may be relevant, but highly prejudiced. Although users can always narrow their search to hone in on their desired result, vertical search engines do the narrowing for them.Ī vertical search site may not always index the Web for content, but may produce links only to proprietary content. People want relevancy, and the more horizontal search they do, the more they tire of wading through pages of superfluous material. Instead of returning thousands of links from a query, as is common on a general-purpose search engine such as Google and Yahoo!, vertical search engines deliver more relevant results to the user.Īlso called a "vearch" engine, a vertical search engine may charge more per ad than a general, or "horizontal," search engine. Vertical search engineA Web-based search engine that indexes content specialized by location (local venues and activities), by topic, typically for consumers, or by industry, geared to businesses (B2B).