Nokia Corporation

Nokia Technologies Oy

Hannu T Toivonen

Antti Sorvari

Jukka-Pekka Salmenkaita

Heikki Mannila

Markus Kähäri

Juhani Murto

Kari Oinonen

Eero Räsänen

Ykä Huhtala

Roman Kikta

Seppo Juhani Pyhälammi

Markus Tapio Kahari

Johan Himberg

Catalin Gheorghiu

Kalle Korpiaho

Johanna Tikanmäki

Seppo Pyhaelammi

The invention is a system and method for computing a result for a location, wherein the result indicates how novel it is for a wireless device to occupy a specific location. After determining the location of a wireless device through various means, a Novelty Index Value (NIV) is calculated for the location, and the NIV is then stored into a database. The NIV may then be subsequently used by application programs to compute a desired result from the NIV. Multiple users may utilize and/or share the same NIV values. The NIV may also be used to alter the configuration of a wireless device as well. A recommendation system is also disclosed, wherein user context is utilized along with NIV values to compute particular results for a user.

Location-based novelty index value and recommendation system and method

A memory efficient method and electronic device for counting frequencies of various events. The structure for storing frequency data comprises primary () and secondary () storages which contain frequency data () in different levels of detail. The primary storage () is a detailed storage comprising both event type and count information units in a fully restorable form. The secondary storage () is targeted for more infrequent events with lower level of detail and constructed as an array of count values addressed by a hash function using event type as an input. Another option is to derive a shortened ID from the event type by utilizing a hash function and exploit the ID as an addressing key for the corresponding count. Events are moved between primary () and secondary () storages depending on the detected event type frequencies. The invention is utilized in a recommendation engine for grading and sorting bookmarks stored in browsers for accessing the Internet.

Method and a device for frequency counting

A method, a terminal implementing the method and a software product for loading at least one data element into a wireless terminal including data on the web pages browsed by the user stored in a definition file. The definition file includes at least the address of one web page. The terminal includes a browser functionality that allows the user to browse web pages on his/her terminal. The terminal detects an appropriate data transmission connection that can be established, whereupon the appropriate data transmission connection is established to the web page, from where at least one data element is stored into the memory of the terminal.

Method for loading data element into wireless terminal

An apparatus and method for facilitating user selection of communication recipients via communication devices. Communication attributes of previous communication events involving the communication device are monitored. Selection criteria are established based on the monitored communication attributes. One or more adaptive recipient history lists are maintained, which correspond to contacts that are affiliated with the communication events satisfying the selection criteria. At least one of the adaptive recipient history lists are presented to the user via the communication device, thereby allowing the user to select the intended recipient via more relevant, focused short lists of likely recipients.

Apparatus and method for facilitating contact selection in communication devices

A system and method is disclosed to provide recommendations to a wireless device, based on stored bookmark/short-cut data. When a wireless device accesses services, data pertaining to the service access, along with any context related information is transmitted within the wireless device, or to a remote server. The data is processed in conjunction with bookmarks/short-cuts specified within the device, and are organized and presented to the wireless device in accordance with preference instructions specified within the wireless device.

System and method for providing context sensitive recommendations to digital services

Music selection systems and methods are disclosed. An adaptive set of songs is selected based on implicit feedback from a user. A random set of songs is also selected. A playlist selection module creates a playlist that includes songs from the adaptive set and the random set in a ratio determined by a surprise factor provided by a user. The playlist may also begin with a sure set of songs that are known to be enjoyed by the user.

Automatic personal playlist generation with implicit user feedback

Growing community of inventors

Helsinki, Finland

Hannu T Toivonen