![]() ![]() That’s also why it differs from and shouldn’t be compared against Google Trends, which is a tool for journalists and anyone else who’s interested to research the popularity of searches and search topics over time. Overall, Autocomplete is a complex time-saving feature that’s not simply displaying the most common queries on a given topic. Predictions will reflect the queries that are unique and relevant to a particular topic. In contrast, “trip to San Francisco” may show a prediction of “trip to San Francisco and Yosemite.” Even if two topics seem to be similar or fall into similar categories, you won’t always see the same predictions if you try to compare them. For example, someone searching for “trip to New York” might see a prediction of “trip to New York for Christmas,” as that’s a popular time to visit that city. ![]() People, places and things all have different attributes that people are interested in. Predictions also will vary, of course, depending on the specific topic that someone is searching for. However, if that team just won a big face-off against a rival, timely game-related predictions may be more useful for those seeking information that’s relevant in that moment. For example, searches for a basketball team are probably more common than individual games. If our automated systems detect there’s rising interest in a topic, they might show a trending prediction even if it isn’t typically the most common of all related predictions that we know about. We also take freshness into account when displaying predictions. For instance, if you were to type in “best star trek…”, we’d look for the common completions that would follow, such as “best star trek series” or “best star trek episodes.” To determine what predictions to show, our systems begin by looking at common and trending queries that match what someone starts to enter into the search box. Where predictions come fromĪutocomplete predictions reflect searches that have been done on Google. We’ll also look at why not all predictions are helpful, and what we do in those cases. In this post, we’ll explore how Autocomplete’s predictions are automatically generated based on real searches and how this feature helps you finish typing the query you already had in mind. These time-saving predictions are from a feature called Autocomplete, which we covered previously in this How Search Works series. As soon as you start typing, predictions appear in the search box to help you finish what you’re typing. Press Spacebar or Enter to replace the characters you typed with the reusable snippet.You come to Google with an idea of what you’d like to search for. To use the text, type the characters you entered in the Replace box. ![]() The text that you selected in your document should appear under With. Under Replace, type the characters that you want to trigger the automatic text. On the AutoCorrect tab, select the Replace text as you type check box, if it's not already checked. Go to File > Options > Proofing, and select AutoCorrect Options. In your document, select up to 255 characters that you want to make into a reusable snippet. ![]() To use the text, go to Insert > Quick Parts, > AutoText, and choose the entry you want. Most of the default values are fine, but including a unique name and description makes the AutoText easier for you to find and use. In your document, select the text that you want to make into a reusable snippet.įill out the information in the Create New Building Block dialog box. ![]()
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