Characteristics of user information requests
Posted: Sun Feb 02, 2025 6:00 am
The success of the information search directly depends on the correspondence of the entered phrase to the results that the user wants to receive. If a woman wants to sew herself a new dress, but types only the word "dress", the robot gives her the following list of links:
a huge selection of dresses for any size;
summer dresses in the online store;
history of the appearance of dresses;
Movie stars who prefer classic style dresses.
Characteristics of user information requests
The top lines of the search results will be international mailing list occupied by offers from online stores, while sites dedicated to self-sewing, creating patterns, and so on, may be found on the third or fourth page, but only a very persistent user will get to them.
Despite the constant improvement of search algorithms, they are still unable to understand a person’s intentions from a single keyword. To simplify their work and obtain the most relevant results, they need to be given hints. Let’s try to enter “sew a dress” in the line.
Let's look at the search results:
how to sew a dress without a pattern;
how to sew a dress: tips for beginners;
how to sew a dress video tutorial.
In other words, the user is offered resources containing instructions and advice on sewing dresses, while sales sites are not in the list of links. The key phrase "how to sew a dress" implies a search for information, not commercial offers on a given topic.
Search results
At the first attempt, that is, using the word "dress", such a result was impossible, since the search bot could not determine the purpose of the request: what exactly is meant, the purchase of a dress, its sewing or the history of the suit. In response to such a spectral request, the system gives out diverse answers in the hope that one of the proposed options will satisfy the user.
An information request differs from a spectral request by having the following characteristics:
a huge selection of dresses for any size;
summer dresses in the online store;
history of the appearance of dresses;
Movie stars who prefer classic style dresses.
Characteristics of user information requests
The top lines of the search results will be international mailing list occupied by offers from online stores, while sites dedicated to self-sewing, creating patterns, and so on, may be found on the third or fourth page, but only a very persistent user will get to them.
Despite the constant improvement of search algorithms, they are still unable to understand a person’s intentions from a single keyword. To simplify their work and obtain the most relevant results, they need to be given hints. Let’s try to enter “sew a dress” in the line.
Let's look at the search results:
how to sew a dress without a pattern;
how to sew a dress: tips for beginners;
how to sew a dress video tutorial.
In other words, the user is offered resources containing instructions and advice on sewing dresses, while sales sites are not in the list of links. The key phrase "how to sew a dress" implies a search for information, not commercial offers on a given topic.
Search results
At the first attempt, that is, using the word "dress", such a result was impossible, since the search bot could not determine the purpose of the request: what exactly is meant, the purchase of a dress, its sewing or the history of the suit. In response to such a spectral request, the system gives out diverse answers in the hope that one of the proposed options will satisfy the user.
An information request differs from a spectral request by having the following characteristics: