Recommended Search and knowledge search which one would you choose?

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Internet disputes are not only between websites, but also with the site's own products. Search engine is actually the product of the website, or say a function. The scramble between the search engines is the contention between the products, not only between the two products, but also behind the two sites. As information becomes more and more numerous, the form of presentation is becoming more fragmented and socially, and we're getting more and more direct answers in search results, not in search results, after all, we don't know which one is right for us, and the search engine's judgment isn't necessarily exactly accurate. This time, the search based on accurate results appears.

Recommended Search and knowledge search is exactly the same pattern, although the two approaches have not been widely applied, at least for a trend.

From the recommended search, more is to let users take the initiative to select information and then recommend users like, and then according to the user's reflection and then conduct search recommendations. This is the user completely according to their own ideas to find the most suitable for their content, in line with the user's psychology. At present, Baidu has been used in several classifications, but it is not a large-scale application. For example, in Baidu's video classification, there is a "what to see" channel, in the film provided in the first page, let the user select 5, and then through the selected movie pushed to the user's favorite type of film, these films are selected types of subdivision recommended to ensure that the user's interest. This is the recommended search, recommend the type of content users like. For the foreseeable future, search engines will become more and more intelligent, allowing you to quickly find information based on people's interests.

Knowledge search is through the construction of a good knowledge database, directly to the most accurate answers to the user, and the associated information is listed. This is a reorganization of large data, only large enough data to produce accurate results. At present, Sogou has released a knowledge of the cubic system, which is a knowledge-based search system. Although not all search information can give accurate results now, a part of it has been done well. such as the search for Jay Chou girlfriend, will show the ex-girlfriend and the current girlfriend's name and picture information, and there are related news and other information. This exact result, at least in other search engines, is still not available. As the knowledge data grows and is perfected, it is believed that more and more accurate search results will be in the future.

Both of these methods are good for the user to want the information, one is to build their own knowledge base data system, one is to integrate a large number of data through the algorithm. But which way is better for users?

In fact, the problem is very simple, as long as the correct answer is confirmed, it should be shown directly, do not let users in all the results of the pick, because he did not know the real answer. Therefore, the direct answer, will undoubtedly reduce the duplication of search ineffective, but also enhance the user's high level of trust. For information that does not have a clear answer, it should give similar information, or let the searcher select the information that the search engine filters out, further clarify what the searcher wants, and then recommend the information.

It is clear that the future in the search box, people for search results also need more accurate, more personalized, may search engine will be based on the different requirements of each searcher to show different results, in order to better provide users with rich information, search engines may require user registration, will open personalized landing page, browsing their favorite information, which Baidu has been doing.

Whether it's a recommended search or a knowledge search, it's important to have a more accurate display of information to users. After all, the vast amount of network information and complexity, but also requires a search engine to give accurate information, personalized information, perhaps the intelligent recommendation of the information can meet the requirements of future users, not only to exact match, but also to have accurate recommendations, this can really meet the user's search habits.

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