Methods and systems for determining ranking of dialogue sticker based on situation and preference information
Provided is a method of determining the ranking of dialogue stickers based on situation and preference information. The method includes: analyzing utterances between the first user terminal and the second user terminal and selecting a sticker candidate group to be recommended to the first user terminal; calculating an expression suitability based on the preference and situation information in regard to the selected sticker candidate group; and determining the ranking of stickers in the order of suitability and then recommending a higher ranked sticker to the first user terminal.
1. A method of recommending a dialogue sticker by use of a server that is connected to a first user terminal and a second user terminal through a network and relays an utterance inputted to a messenger between the first user terminal and the second user terminal, the utterance including at least one of a text and an image, the method comprising:
analyzing a dialogue situation from utterances between the first user terminal and the second user terminal;
selecting a sticker candidate group by retrieving a dialogue situation similar to the analyzed dialogue situation from utterance data;
calculating, based on preference information, an expression suitability for each sticker of the selected sticker candidate group;
ranking the stickers in the sticker candidate group based on the expression suitability; and
recommending a highest ranked sticker on a display device of the first user terminal,
wherein the step of calculating an expression suitability comprises calculating a distance between an expression preference vector of a first user of the first user terminal and an expression vector for each sticker of the selected sticker candidate group and
wherein the expression vector for a sticker has multiple elements and each element of the expression vector has a value that indicates the first user's preference on the sticker in association with a type of expression.
2. The method of claim 1 , before the step of calculating the expression suitability, further comprising: generating the expression preference vector of the first user by accumulating and analyzing the utterances of the first user terminal.
3. The method of claim 1 , wherein the expression preference vector is one-dimensional vector having n vector elements, and each vector element is a criterion for determining the preference for a sticker.
4. The method of claim 3 , wherein the vector element of the expression preference vector comprises at least one element of dynamic expression, complicated expression and exaggerated expression.
5. The method of claim 3 , wherein the expression vector for each sticker is one-dimensional vector having the same vector elements as the expression preference vector.
6. The method of claim 1 , wherein the type of expression is one of dynamic expression, complicated expression and exaggerated expression.
7. A non-transitory computer readable medium storing instructions for recommending a dialogue sticker by use of a server that is connected to a first user terminal and a second user terminal through a network and relays an utterance inputted to a messenger between the first user terminal and the second user terminal, the utterance including at least one of a text and an image, wherein execution of the instructions by a computing device causes the computing device to perform the steps of:
analyzing a dialogue situation from utterances between the first user terminal and the second user terminal;
selecting a sticker candidate group by retrieving a dialogue situation similar to the analyzed dialogue situation from utterance data;
calculating, based on preference, an expression suitability for each sticker of the selected sticker candidate group; and
ranking the stickers in the selected sticker candidate group based on the expression suitability; and
recommending a highest ranked sticker on a display device of the first user terminal,
wherein the step of calculating an expression suitability comprises calculating a distance between an expression preference vector of a first user of the first user terminal and an expression vector for each sticker of the selected sticker candidate group, and
wherein the expression vector for a sticker has multiple elements and each element of the expression vector has a value that indicates the first user's preference on the sticker in association with a type of expression.
8. The non-transitory computer readable medium of claim 7 , wherein the type of expression is one of dynamic expression, complicated expression and exaggerated expression.