Searching method and device, electronic equipment and storage medium
A search method and technology for searching content, applied in the field of artificial intelligence and intelligent search, can solve problems such as poor user experience and poor result quality
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example 1
[0028] Example 1: q = "A hot pot restaurant X is delicious", "What time does A hot pot store X open", "Which province does Y belong to", etc. It can be seen that users are not only looking for POI points in the search engine scenario , and will also express a deeper search requirement for this point.
example 2
[0029] Example 2: q = "Where is a place to eat like a palace in Z", but in the map application, the user will not have such an expression, directly using the map search interface will return irrelevant impurities (for example: Y Palace lighting).
[0030] (2) Differences in quality control requirements at the product level: the screen-to-body ratio of the search results displayed in the map application is larger. In the search engine scenario, due to the large number of search results, the displayable area is relatively small. The space shows the results that meet the needs of users as much as possible, and has higher requirements for accuracy.
example 3
[0031] Example 3: q=Snack Street at Bridge C in Site B, the user demand is the snack street around Bridge C in Site B, use the map retrieval interface to return two POI points "Snack Street" and "Bridge C", where "Snack Street" is the user The target POI point, "Bridge C" is an impurity point. In the map side, due to the large display area, more impurity points are displayed, which basically has no effect. However, in the search engine scene, redundant impurity points will occupy more space. The display space of other cards (that is, display content) is compressed, which will affect the full-page performance index of search.
[0032] In the related art, the POI retrieval system is similar to a general search engine retrieval system. In the recall stage, online word segmentation can be performed on the user search content, and the search content is divided into words or words of different granularity, such as q = "Sajinqiao Snack Street", after the word segmentation system, the...
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