Understanding the 3 core problems of search engine with transposition thinking

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If a search engine optimization person does not know how to think, is not a good seoer, a lot of SEO novice including engaged in a period of time optimization staff encountered bottlenecks do not know how to do, because the thinking has been structured, and sometimes we really need to change a way of thinking: transposition thinking, Break the pattern by reverse thinking. Whether you are SEO novice or engaged in a lot of years of SEO veteran, we need to understand the search engine 3 core issues, on the basis of understanding, perhaps you will be more scientific SEO to go farther. We need to think about the following 3 questions.

What is the user's real needs?

Search engine User Average query length is 2.7 words. How do you learn from this short query request that the real user needs to be hidden? This is the first problem that the search engine needs to solve. If you can't get the user's true search intent, the accuracy of the search will not be discussed, even if the subsequent content matching algorithm is no longer helpful.

From another point of view, even the same query word, different users of the search purposes are different, how to identify this difference? If it goes further, even the same query word issued by the same user, it may be because the user's scene is different, the purpose of the difference, and how to identify? These are the core issues that search engines need to address, where users issue a query here and now. What his true intentions were.

Ii. what information is really relevant to the user's needs

The first of these issues is from the perspective of user needs, the other two issues are considered from the data point of view. Search engine is essentially a matching process, that is, from a large number of data found to match the needs of users of content. Therefore, when the premise of the user's real intention is clear, it becomes a key factor to find the information that satisfies the user's needs. It is a key problem in the field of information retrieval to judge the relevance of content and user query keywords. Includes the Dependencies calculation section for all search engines.

Iii. What information can be trusted by users

Search is essentially finding information that meets the needs of users, although relevance is an important aspect of measuring whether information meets user needs, but not all, and whether information is trustworthy is another measure. Search engines need to deal with the huge amount of data captured from the Internet, the content of publishers posted to the credibility of the contents of the publisher we can consider from 3 aspects, real information, malicious information, unintentional errors, in the same query search results, there may be conflicting search answers, At this time, the credibility of information to become a prominent problem, as the optimizer must communicate well with the editors to ensure that the content of the Web page authenticity and credibility.

Let's start with common sense, if you want to go to a restaurant, before consumption, you will search the Internet for users who have eaten in this restaurant to assist in making decisions, and the search for relevant content, it is likely that the restaurant intentionally released some of the favorable information to mislead users, But if the publisher is a good friend of the user, the trustworthiness of the information can be greatly increased.

From a certain point of view, link analysis can improve the search results, can be regarded as the credibility of the information to make judgments, the importance of the Web page as a reliable judge of the criteria. The 3 core questions of the search engine need to be optimized to work together with the search engine, a question that might give a better answer one day in the future.

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