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• Daikichi’s purchase summarizes the purchase of everyone | 2022-07-30 12:03 | Purchase specialty store | Comments () << You can buy a business trip! Fukuyama City, Large ... Wedgewood Cup & Sosa ... >>
Kakao is making various technical and service efforts to provide users with better communication ecosystems on various platforms such as KakaoTalk and Daum. Kakao has declared the fundamental change of Daum Portal News in 2019, and has continued to worry about good influence on the content ecosystem.
In order to strengthen the user’s choice, the Kakao View service will be introduced on the first screen of Daum Mobile from January 2022. Kakao View is a new content platform in Kakao, where anyone can become an editor and curate and publish content with its own eyes.
In Kakao View, tens of thousands of editors provide new services such as discovery tabs and My View tab so that users can easily access various contents and in -depth articles. It is also important to know how users are recommending content in order to build a healthy communication ecosystem that Kakao dreams of.
In this regard, I would like to give you more details about how the board issued through the Kakao View is recommended in the discovery tab. It is also in line with the value of ‘explanation of algorithms for trust with users’ through Kakao Algorithm Ethics Charter, which Kakao announced for the first time in 2018.
Until the board of the view editor appears on the discovery tab
Anyone can issue a board in Kakao View. However, the board goes through various analysis processes until the view tab of KakaoTalk and the discovery tab of the first screen of the mobile mobile screen. It is also Kakao’s technology and service efforts to make users access to various contents in a safe environment.
Publication and discovery tap exposure process of the board
① Editor’s board issuance and topic classification
② Content filtering that violates the operation policy
③ Recommended full management for maintaining diversity and latestness
④ Personalization recommendation algorithm application
⑤ post -treatment for securing diversity of recommendation
⑥ Recommended board for users
① Editor’s board issuance and topic classification
Any user of KakaoTalk can access the Kakao View Creator Center to create a talk channel and issue a board. You can issue up to 20 boards per day per channel. Kakao analyzes the topic of the board based on the title and description of the board, and the text of the inserted link title, and uses it to recommend boards similar to the user’s favorite board. If the view editor modifies the board and changes the inserted link, a re -analysis is made.
② Filtering of content that violates the operation policy
The board issued by the view editor is a process of looking at whether it violates Kakao’s operating policy. The board that violates the operating policy is not only excluded from the recommendation of the KakaoTalk View tab and the DAUM Mobile Discovery Tab, but also cannot be connected by searching because the board itself is regulated. The criteria for filtering are guided in detail through the Talk Channel Manager Center.
Information on boards that violated the Talk Channel Operation Guide
Guide to the board in violation of the link guide
③ Pool management for maintaining diversity and latestness
The boards that are not content filtering are recommended for KakaoTalk View tab and Daum Mobile Discovery tab. However, the following limitations are made to increase the diversity of content recommendations and the latest to the latest.
Recommended full management based on the publication date of the board
The board that has passed for a certain period of time from the date of issuance so that the old content on the board is not mistaken as the latest information is not exposed to the KakaoTalk View 파워볼실시간 tab and the Daum Mobile Discovery tab. Time standards for maintaining the latest are applied differently by characteristics of content topics.
Restrictions on the number of recommended boards per talk channel
So that the board issued in various channels can be recommended, the recommended pool of KakaoTalk View tab and Daum Mobile Discovery tab will be added only a certain number of boards per talk channel.
④ Personalization recommendation algorithm application
The KakaoTalk View tab and the Daum Mobile Discovery tab are recommended to reflect the characteristics of the user. This is why each user has a different content configuration screen.
Basic MAB algorithms are applied to the recommendation when there is no information about the user’s interests, such as using Kakao View. If you have sex and age information of the user, a board that responded well in each group is recommended. After that, if the user responds, the user optimizes immediately.
The algorithm used for recommendation consists of three elements below.
MAB (Multi Armed Bandit) algorithm
This algorithm helps users to gradually expose the boards that have received a lot of reactions to the exposure among the boards that are recommended for Kakao View. Multi Armed Bandit (MAB) algorithm is the name derived from one-armed bandit, which refers to the slot machine of the casino.
When you only have n times that you can bet on the entire slot machine, it is an algorithm that finds the most profitable way to make the most profit through n bet. In the Kakao View, each board is a slot machine, and the odds of the user are the probability that the user will respond to the board (including the consumption of the content in the board, including activities such as activity, etc.).
Application of Contextual Bandit to predict user reactions
User reactions include not only consumption of content in the board, but also activities such as likes, sharing, and adding channels. The goal of the Kakao View’s Discovery tab recommendation system is to make it easier for each user to discover the board and channels that are “suitable for me”, but rather than the user consumes more content within the Discovery tab. Therefore, after seeing the content, the evaluation and subscription (additional channel adds) are also reflected in the algorithm as an important user response.
If only boards that have received a lot of reactions from users are likely to take up most of the recommended screens on topics that are interested in social trends and majority. But my interests can’t always match a lot of interests. To compensate for this problem, the Kakao View recommendation is not only learning the average win rate of the board, but also the contextual bandit algorithm that predicts the response according to the user’s characteristics.
The Contextual Bandit algorithm optimizes the recommendation according to the characteristics of each individual’s content consumption on the premise that the boards reacted to individual users best reflect their interests. For example, if a user named Ryan has recently seen a baseball -related board, other users who have seen a baseball board are predicted and recommended as a board that suits Ryan’s taste. In Kakao View, my discovery tab may continue to change depending on which board I responded to.
Reflecting user’s negative feedback
Applying these algorithms to configure the KakaoTalk View tab and the DAUM Mobile Discovery tab may not fit the user’s interests, or even if you are interested in interest, you may be exposed to channels that are not preferred. At this time, the user may not be recommended by the board through the ‘Stop this channel’ menu. I am also preparing to reduce the recommendation of channels similar to the channel I’ve stopped.
⑤ Post processing for securing diversity of recommendation
When the list of boards that will be recommended by the user will be configured, the post processing stage will be completed before exposure to the user. In this process, we consider the following factors to provide more diverse contents to users.
Prevention of continuous exposure of the same theme board
If your response is expected to be high based on my recent interests, it is possible that the board of the same topic will be exposed in succession. For example, in the discovery tab of a user named Ryan, baseball -related boards occupy the top 10 items, followed by boards that reflect other interests such as books and economies. In this case, it may be difficult for the user to find a board on another topic, so the process is mixed so that the boards of similar topics do not come out continuously.
Restrictions on the number of boards issued on the same channel
The purpose of the Discovery tab is to help users find the right channel. To this end, the same channel’s board is exposed only below a certain number so that users can see more recommended channels.
Excluding boards already reacted by users
The board that users once reacted (content consumption, likes, sharing, adding channels, etc.) will be excluded from the recommendation later, so that the same content is not repeated and the opportunity to discover more on more boards and channels.
Journey to find individual interests, discovering Kakao View
As such, Kakao View continues its technology and service efforts to help users meet various content ecosystems. In addition to optimizing user’s interests, we will continue to make efforts to continue to connect meaning and connection to the view editor, by making more diverse recommendations.
※ This article is based on technology and operation policy that is applied as of January 2022. In the future, such as technology, we will share it through a new article or some modifications of this article.
※ Recent revision/publication history [2022.1.26.]