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DNP, PARC Jointly Develop Recommender System for Mobile Terminals


Dai Nippon Printing Co. Ltd. (DNP) in conjunction with Palo Alto Research Center Inc. (PARC)(*1) has developed a context- and activity-aware system that recommends information about “local area” activities, such as shopping and dining, matching the consumer’s location, time of day and personal tastes.

Mechanism of Recommendation System for Mobile Terminal

As mobile communications devices proliferate, they are used increasingly as information-gathering tools to browse websites and download content, in both inside and outdoor venues. In response to this trend, DNP has been collaborating since 2005 with PARC to develop a system for distributing information tailor-made to match specific consumer conditions, and to promote the use of “local area” information via mobile terminals. By using this system, consumers can obtain timely information that matches their present conditions with no need to initiate a mobile-based search.

[System Overview]

  • Using contextual information (*2), such as time of day or positional information obtained via a mobile Global Positioning System (GPS *3), this system uses a unique algorithm to forecast, with a high probability of success, the kinds of “eating”, “shopping”, “seeing” and “playing” opportunities for the consumer to enjoy in the neighborhood they happen to be in.
  • The system goes one step further to select retail outlets, restaurants, events, etc., which relate to the consumer’s likely activity based on a previously registered set of personal preferences, and/or browsing history, then distributes that information to the consumer’s mobile terminal.
  • Consumers use this system merely by installing the application on their mobile terminals and registering their personal preferences.
  • Recommendations are displayed on the consumer’s terminal screen in the order of how well they match the consumer’s preferences.
  • The recommended information can be displayed as a list, and also on a map to show the consumer the location of the event or activity.
  • The system can distribute information designed to match specific conditions related to selected activity, time or venue.

[Forward Looking Developments]
From early 2008 DNP is scheduling a series of feasibility studies for distributing the “local area” information, using this newly developed system as a prototype. The company is also looking to promote active cooperation with domestic retail outlets, publishing companies, communication carriers and mobile terminal makers, with the intention for commercial release in 2009.


(*1)Palo Alto Research Center, Inc. (PARC):
The Palo Alto, California-based, commercial research center brings together scientists in areas including physics, computers, biology and the social sciences. Founded in 1970 as part of Xerox Research, then incorporated in 2002 as an independent research business, PARC is celebrated for such innovations as laser printing, distributed computing and Ethernet, the graphical user interface (GUI), object-oriented programming, and ubiquitous computing. For further information, please see

(*2)Contextual information:
Refers to data related to the specific situation of the consumer, which can be used as program criteria.

(*3) GPS:
The system that determines position based on satellite signals

* Product price, specification and service content listed in this news release are as of time of going to press. This data may change without notice. Production and distribution and the provision of specific services listed in this release may have already been curtailed. We apologize for any inconvenience.

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