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Changes to rating algorithms used by online platform business operators may violate the Antimonopoly Act

On June 16, 2022, the Tokyo District Court held that “Kakaku.com”, the operator of an online restaurant review and search platform, had abused its superior bargaining position and violated the Antimonopoly Act by improperly changing its restaurant rating algorithm.

This article provides an overview of the ruling and discussion of the key factors that led the Court to determine when changes to an algorithm would constitute a violation of the Antimonopoly Act. The case provides a useful guideline for platform business operators contemplating changes to their algorithms.

Please note that the content of this article is based on media coverage, commentary and other public sources since the text of the ruling has not yet been made public.

Case Summary

Kakaku.com operates the online restaurant review and search platform, “Tabelog”, where customers can search for restaurants using various criteria, including location, type of cuisine and price range. In addition , customers are able to register and leave reviews and ratings. Restaurants are also able to register their business on Tabelog for free. For additional fees, restaurants are provided with access to extra tools to enhance their restaurant’s profile and reach a larger audience. Restaurants that pay the certain additional fee are also preferentially placed in user search results. Tabelog is one of Japan’s largest and most well-known online restaurant review and search platforms with approximately 830,000 restaurants listed and a reported 93 million users per month as of June 2022 [1].

Hanryu-mura, a chain of BBQ restaurants, filed a lawsuit claiming that Kakaku.com changed the algorithm used to calculate restaurant ratings in May 2019, which resulted in the ratings of Hanryu-mura’s restaurants decreasing.

Hanryu-mura claimed that Kakaku.com secretly altered the algorithm to lower the ratings of chain restaurants to induce the company to pay higher fees to make their restaurants display at a higher position in search results. Hanryu-mura sought an injunction against the use of the changed algorithm and JPY 639 million in damages.

Although the circumstances are yet unclear, it was reported that Kakaku.com disclosed its algorithm to Hanryu-mura as part of the court proceedings. This is an uncommon occurrence as algorithms are generally considered to be highly confidential information and disclosure is usually fiercely contested.

The Tokyo District Court dismissed the plaintiff's request for injunction against the use of the changed algorithm but awarded the plaintiff JPY 38.4 million in damages after ruling that Kakaku.com’s change to the algorithm constituted the abuse of its superior bargaining position.

Abuse of a Superior Bargaining Position

Superior bargaining position

Under the Antimonopoly Act in Japan, it is prohibited for a business operator (Party A) to abuse a superior bargaining position relative to another party (Party B) by disadvantageously setting or changing the terms of a transaction or implementing a transaction that impedes fair competition. Unlike the prohibition of abuse of a dominant position in the EU, it is not necessary for Party A to have a dominant market position; rather, it is sufficient for Party A to merely have a relatively superior bargaining position as compared to Party B.

In this case, the Court found that Kakaku.com had a superior bargaining position stating that Hanryu-mura had no choice but to accept even disadvantageous requests from Kakaku.com because it would otherwise face a major problem in the management of its restaurants if the restaurants could not continue to be paid members of Tabelog. This finding may not be so surprising given the important role that Tabelog plays in the restaurant industry in Japan.

Implementation of a transaction

One key issue in this case was whether the change to the rating algorithm constituted the disadvantageous “implementation of a transaction” by Kakaku.com. Although restaurants can become paid members of Tabelog, the ratings of each restaurant are not part of the terms and conditions of that paid membership. Tabelog displays the ratings of not only paid members but also free members and even non-member restaurants that have no business relationship with Kakaku.com, and the ratings do not rise or fall depending on whether the restaurant is a paid member or not. Kakaku.com argued that the act of assigning a score to a restaurant did not constitute a “transaction.”

On this issue, the Japan Fair Trade Commission (the “JFTC”) submitted an amicus brief in response to the Court's request. The amicus brief states that, although the rating on Tabelog is not a part of the contract with paid members or free members, it is a service provided in connection with a transaction and constitutes at least the “implementation of a transaction.” The JFTC gave the following reasons:

  1. The score on Tabelog is an indicator that shows how many evaluations have been gathered from users at that time for the restaurant;
  2. Restaurants can become a paid member of Tabelog to update their information and increase their exposure to consumers through “profile registration” and “access enhancement” in order to attract more customers; and
  3. The restaurant's rating is increased by increasing the number of users' evaluations and reviews, thereby attracting more customers.

However, since the text of the ruling has not been made public, it is not clear on what grounds the Court found that the change to the algorithm constituted the disadvantageous implementation of a transaction.

Impediment to fair competition

The other issue in the case was whether the change to the algorithm constituted an impediment to fair competition. The JFTC's amicus brief stated that the following factors should be considered when determining whether the establishment and operation of the algorithm in question impedes fair competition:

  1. the overall content of the algorithm applied to restaurant ratings and the circumstances of the changes (e.g., what factors are taken into account, how often the factors are reviewed and changed);
  2. in what manner, when, and for what range of restaurants is the algorithm set and operated (including whether or not there is prior consultation with the restaurants);
  3. whether the algorithm is of a nature to suppress the restaurants’ autonomy; and
  4. the extent to which the algorithm is detrimental to the restaurants.

In reaching its decision, the Court may have concluded that the change of the algorithm in question impeded fair competition based on the JFTC’s criteria above.

Conclusion

This ruling is particularly noteworthy in that it shows that an unfair algorithm change could constitute a violation of the Antimonopoly Act, and disclosure of the algorithm may be required as part of court proceedings. Platform operators need to take careful consideration of all the factors set forth by the JFTC when changing their rating algorithm including, the reasonableness of the change, degree of impact on the counterparty, and to what extent the operator will conduct prior consultations. Further information and insight into this case will be available once the text of the ruling is made publicly available. Moreover, both parties have appealed the case to the Tokyo High Court. Close attention should be paid to the further developments to come.

View original article here.

September 29 2022

Nobuaki Ito, Partner

+81-3-6889-7632 [email protected]

Nobuaki Ito provides a wide range of legal advice on antitrust and competition law matters, including merger control, cartel investigations, unilateral conduct, as well as other general corporate matters. He previously worked in the competition group of Ashurst (London office) as a visiting attorney from 2016 to 2017, and for the M&A Division of the Japan Fair Trade Commission as a Chief Investigator from 2017 to 2019 where he reviewed a number of high-profile M&A transactions (mainly in steel, pharmaceutical, chemical, IT, and energy sectors), and drafted the latest Merger Guidelines.

[1] https://owner.tabelog.com/owner_info