GB2528088A - Generating contact identifier recommendations - Google Patents

Generating contact identifier recommendations Download PDF

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Publication number
GB2528088A
GB2528088A GB1412195.8A GB201412195A GB2528088A GB 2528088 A GB2528088 A GB 2528088A GB 201412195 A GB201412195 A GB 201412195A GB 2528088 A GB2528088 A GB 2528088A
Authority
GB
United Kingdom
Prior art keywords
contact
contact identifier
recommendations
identifier
statistical data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
GB1412195.8A
Other versions
GB201412195D0 (en
Inventor
Zhou Xu
Joan Barcelo Llado
Sean Emson
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jaguar Land Rover Ltd
Original Assignee
Jaguar Land Rover Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jaguar Land Rover Ltd filed Critical Jaguar Land Rover Ltd
Priority to GB1412195.8A priority Critical patent/GB2528088A/en
Publication of GB201412195D0 publication Critical patent/GB201412195D0/en
Publication of GB2528088A publication Critical patent/GB2528088A/en
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q50/40—
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/26—Devices for calling a subscriber
    • H04M1/27—Devices whereby a plurality of signals may be stored simultaneously
    • H04M1/274—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc
    • H04M1/2745—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc using static electronic memories, e.g. chips
    • H04M1/27453—Directories allowing storage of additional subscriber data, e.g. metadata
    • H04M1/2746—Sorting, e.g. according to history or frequency of use
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/60—Substation equipment, e.g. for use by subscribers including speech amplifiers
    • H04M1/6033—Substation equipment, e.g. for use by subscribers including speech amplifiers for providing handsfree use or a loudspeaker mode in telephone sets
    • H04M1/6041—Portable telephones adapted for handsfree use
    • H04M1/6075—Portable telephones adapted for handsfree use adapted for handsfree use in a vehicle
    • H04M1/6083—Portable telephones adapted for handsfree use adapted for handsfree use in a vehicle by interfacing with the vehicle audio system

Abstract

A system and method for generating contact identifier recommendations from a larger electronic phonebook. The system 100 comprising a group of contact identifier predictor modules P, each providing a set of predicted contact identifiers from a second output port 104 and a confidence value associated with each of the predicted contact identifiers from a first output port 102. There is a weight storage module 106 storing a set of weight values associated with a respective confidence value and modifies each confidence value based on the corresponding weight values to provide weighted confidence values. A selection module 120 selects a set of contact identifier recommendations based on the weighted confidence values for the predicted contact identifiers. The system may also display the set of contact identifier recommendations on a user interface 122. The preferred embodiment may be an integrated car-phone where the user utilises hands free technology and therefore, might be difficult to scroll through the electronic phonebook in order to select the required contact. The recommended contact list may be based on call frequency or geographical proximity and may be updated to following user interaction (such as modifying the weighted values 130 based on user selection of a contact).

Description

GENERATING CONTACT IDENTIFIER
RECOMMENDATIONS
TECHNICAL FIELD
The present disclosure relates to a system and method operating on such a system integrated into a vehicle such as a car, van, minibus, bus or coach. The invention is particularly useful for, but not necessarily limited to, a system and method for generating contact identifier recommendations such as telephone numbers for people traveling in a vehicle.
BACKGROUND
Today's vehicles are designed for comfort and safety and may include systems for allowing people traveling in a vehicle to make a telephone call via radio devices including a cellular telephone or integrated car-phone. However, the electronic phone book or stored contact list on such radio devices may be relatively large and typically require scrolling to identify a desired listed contact. Consequently, a desired contact identifier may not be conveniently accessible via such electronic phone books especially by a driver of a vehicle, using hands free technology, especially when scrolling is required.
It is an object of embodiments of the invention to at least mitigate one or more of the
problems of the prior art.
SUMMARY OF THE INVENTION
According to an aspect of the invention, there is provided a system for generating contact identifier recommendations, the system comprising: a group of contact identifier predictor means, each of the contact identifier predictor means having a first and second output ports, and each of the contact identifier predictor means being adapted to provide a set of predicted contact identifiers to the second output port and a confidence value associated with each of the predicted contact identifiers to the first output port, wherein each confidence value is based on statistcal data associated with usage events of the predicted contact identifiers; a weight storage means storing a set of weight values associated with a respective confidence value; a confidence measure adjustment means having an adjustment means output port, a first input port coupled to the tirst output port of each contact identifier predictor means and a second input port coupled to the weight storage means, the confidence measure adjustment means being adapted to modify each said confidence value based on the corresponding one of the weght values to provide weighted confidence values; and a selection means coupled to the adjustment means output port and the second output port of each of the contact identifier predictors, the selection means being adapted To select a set of contact idenTifier recommendaTions based on the weighted confidence values for the predicted contact identifiers.
Suitably, the system may include a user interface coupled to the selection module, wherein in operation the user interface displays the set of contact identifier recommendations.
The system may include a weight updating module coupled to the user interface and to the weight storage module, wherein when a user selects one of the contact identifier recommendations to thereby make a telephone call, the weight updating module modifies at least one of the weight values in the weight storage module. This therefore allows for system learning to provide enhanced contact identifier recommendations.
The system may also include a predictor updating module coupled to the user interlace and contact identifier predictor modules, wherein when a user selects one of the contact identifier recommendations to thereby make a telephone call, the predictor updating module modifies the statistical data. This therefore also allows for system learning to provide enhanced contact identifier recommendations.
Suitably, the statistical data may include data based on frequency of usage of each contact identifier.
The statistical data may include data based on missed calls.
Suitably, the statistical data may include data based on the present location of the system.
The statistical data may include data based on the destination of the system which is input via the user interface.
Suitably, the statistical data may include data based on the time of day.
Suitably, the statistical data may include data based on the day of the week.
The system may be part of a radio telephone.
Suitably, contact identifier recommendations may be in the form of telephone number caller identifier aliases.
According to another aspect of the invention, there is provided a method for generating contact identifier recommendations, the method being performed on a system and the method comprising: obtaining, from a group of contact identifier predictor modules, a set of predicted contact identifiers and a confidence value associated with each of the predicted contact identifiers, wherein each confidence value is based on statistical data associated with usage events of the predicted contact identifiers; modifying each said confidence value based on a corresponding weight value to provide weighted confidence value; and selecting a set of contact identifier recommendations based on the weighted confidence values for the predicted contact identifiers.
Suitably, the method may include including a step of displaying the set of contact identifier recommendations on a user interface.
The method may include modifying at least one of the weight values when a user selects one of the contact identifier recommendations to thereby make a telephone call. This therefore also allows for system learning to provide enhanced contact identifier recommendations.
Suitably, the method may include modifying the statistical data when a user selects one of the contact identifier recommendations to thereby make a telephone call. This therefore also allows for system learning to provide enhanced contact identifier recommendations.
Suitably, the statistical data may include data based on frequency of usage of each contact identifier.
The statistical data may include data based on missed calls.
Suitably, the statistical data may include data based on the present location of the system.
The statistical data may include data based on the destination of the system which is input via the user interface.
Suitably, the statistical data may include data based on the time of day.
Suitably, the statistical data may include data based on the day of the week.
Within the scope of this application it is expressly intended that the various aspects, embodiments, examples and alternatives set out in the preceding paragraphs, in the claims and/or in the following description and drawings, and in particular the individual features thereof, may be taken ndependently or in any combination. That is, all embodiments and/or features of any embodiment can be combined in any way and/or combination, unless such features are incompatible. The applicant reserves the right to change any originally filed claim or file any new claim accordingly, including the right to amend any originally filed claim to depend from and/or incorporate any feature of any other claim although not originally claimed in that manner.
BRIEF DESCRIPTION OF THE DRAWINGS
Embodiments of the invention will now be described by way of example only, with reference to the accompanying figures, in which: Figure 1 shows a schematic block diagram of a system for generating contact identifier recommendations, according to an embodiment of the invention; Figure 2 shows a schematic representation of a user interface of the system of Figure 1, according to an embodiment of the invention; and Figure 3 is a flow chart of a method for generating contact identifier recommendations, according to an embodiment of the invention.
DETAILED DESCRIPTION
The following detailed description, and associated drawings, is intended to describe preferred embodiments of the invention, and is not intended to represent the only forms in which the invention may be practised. II is to be understood that the same or equivalent functions may be accomplished by different embodiments of the invention.
Referring to Figure 1 there is illustrated a schematic diagram of a system 100 for generating contact identifier recommendations according to an embodiment of the invention. Such contact identifier recommendations include telephone numbers, caller identifiers or internet addresses that can be used to make telephone calls. The system 100 is part of a radio telephone and includes a group of contact identifier predictor modules P1 to Pn. Each of the predictor modules P1 to Pn has a first output port 102 and a second output port 104, and each of the contact identifier predictor modules P1 to Pn is adapted to provide a set of predicted contact identifiers {N1 to Ni} to the second output port 104 and a confidence value {C1 to Ci} associated with each of the predicted contact identifiers {N1 to Ni} to the first output port 102.
More specifically, contact identifier predictor module P1 provides a set of predicted contact identifiers {N11 to Nli} and corresponding confidence values {C11 to Cli} whereas contact identifier predictor module Pn provides a set of predicted contact identifiers {Nnl to Nni} and corresponding confidence values {Cnl to Cni}. Also, each of the confidence values are based on statistical data associated usage events of the predicted contact identifiers. There is a weight storage module 106 storing a set of weight values {W1 to Wj) associated with a respective confidence value {C1 to Ci}.
The system 100 includes confidence measure adjustment module 108 having an adjustment module output port 110, a first input port 11 2 coupled to the first output port 102 of each contact identifier predictor module and a second input port 114 coupled to the weight storage module 106. The confidence measure adjustment module 108 is adapted to modify each confidence value based on the corresponding one of the weight values to provide weighted confidence values {X1 1 to Xli Xnl to Xni}. There is also a selection module 120 coupled to the adjustment module output port 110 and second output port 104 of each of the contact identifier predictor modules P1 to Rn. The selection module 120 is adapted to select a set of contact identifier recommendations Ri to Rk based on the weighted confidence values { Xli to Xli Xnl to Xni} for the predicted contact identifiers.
The system 100 also includes a user interface 122 coupled to the selection modulel2o, and in operation the user interface 122 displays the set of contact identifier recommendations Ri to Rk. There is also a weight updating module 130 coupled to the user interface 122 and to the weight storage module 106. In use, when a user selects one of the contact identifier recommendations to thereby make a telephone call, the weight updating module modifies at least one of the weight values {W1 to Wj) in the weight storage module 106.
There is also a predictor updating module 140 coupled to the user interface 122 and contact identifier predictor modules P1 to Pn. In use, when a user selects one of the contact identifier recommendations to thereby make a telephone call, the predictor updating module 140 modifies the statistical data in the predictor modules P1 to Pn.
Each of the contact identifier predictor modules P1 to Pn stores specific statistical data, such data can be data based on frequency of usage of each contact identifier, data based on missed calls, based on the destination of the system which is input via the user interface, based on the time of day, based on the day of the week. The system 100 can include a present location identifier such as a Global Positioning System module 150 and the statistical data may thus include data based the present location of the system 100.
Referring to Figure 2 there is illustrated a schematic representation of a user interface display 200 of the system 100, according to an embodiment of the invention. The user interface display 200 is part of the user interface 122 and provides for listing the contact identifier recommendations provided by the system 100. In this embodiment the user interface display 200 is a touch screen and each one of listed contact identifier recommendations is illustrated by telephone number caller identifier aliases 220 instead of the actual contact identifier. The caller identifier aliases 220 also has associated information 230 that indicates the statistical data origin such as missed calls, current location (lives here), and expected destination.
Referring to Figure 3 there is illustrated a flow chart of a method 300 for generating contact identifier recommendations, according to an embodiment of the invention.
The method 300 by way of example will be described with reference to the system 100, however the method 300 may be implement with other systems. The method 300 is initiated at a call request block 310, when a user requests contact identifier recommendations via the user interface 122. At an obtaining confidence values block 320, there is obtained from the group of contact identifier predictor modules P1 to Pn, a set of predicted contact identifiers and a confidence value {C1 to Ci) associated with each of the predicted contact identifiers. Also, each confidence value is based on statistical data associated usage events of the predicted contact identifiers.
At a modifying block 330, there is performed a process of modifying each confidence value (Cl to Ci) based on the corresponding weight value (Wi to Wj) to provide weighted confidence values (Xli to Xli Xnl to Xni} for the predicted contact identifiers.
The method 300, at a selecting block 340, performs a process of selecting the set of contact identifier recommendations based on the weighted confidence values { Xli to Xli Xnl to Xni} for the predicted contact identifiers. This set of contact identifier recommendations is displayed at the user interface 122 at a block 350 and at a block 360 the weight values and statistical data are modified when a user selects one of the contact identifier recommendations to thereby make a telephone call.
The confidence values for each predictor module P1 to Pn are based on a statistical analysis of the contact identifiers stored in the system 100. For example, if predictor module P1 keeps a record of most used contact identifiers and if one contact identifier (Ni) accounts for 60% of all calls then the confidence value for Nlwill be 0.6. If another contact identifier (N2) accounts for 20% of all calls then the confidence value for N2 will be 0.2. Additionally, if all other contact identifiers in total count for the last 20% of most used contact identifiers then they will not be provided as predicted contact identifiers. The other predictor modules Pi to Pn provide predicted contact identifiers N and confidence values C in a similar fashion.
It will be appreciated that the measure adjustment module 108 provides the (Xii to Xli Xni to Xni} by a multiplication process. For example, if the predictor module P1 provides two predicted contact identifiers Ni and N2 with corresponding confidence values {Ci= 0.6 and C2 = 0.2); and the corresponding weight values are W1= 0.3 and W2=0.i, then the weighted confidence values will be: Xl (for Ni) = Cl x Wi = 0.6 x 0.3 = O.i8 and X2 (for N2) = C2 x W2 = 0.2 x 0.1 = 0.02.
After all the weighted confidence values have been calculated, the contact identifier recommendations are selected based the highest weighted confidence values associated with each predicted contact identifier from all the predictor modules P1 to Pn. This selection can be based on a seT number of The top X" weighted confidence values where X" is typically set to 5. However, other selection criteria may be used such as selecting any contact identifier that has a weighted confidence value greater that a specified value. Thus, the invention advantageously provides a set of contact identifier recommendation for ease of selecting and calling a contact as will be apparent to a person skilled in the art.
It will be appreciated that embodiments of the present invention can be realised in the form of hardware, software or a combination of hardware and software. Any such software may be stored in the form of volatile or non-volatile storage such as, for example, a storage device like a ROM, whether erasable or rewritable or not, or in the form of memory such as, for example, RAM, memory chips, device or integrated circuits or on an optically or magnetically readable medium such as, for example, a CD, DVD, magnetic disk or magnetic tape. It will be appreciated that the storage devices and storage media are embodiments of machine-readable storage that are suitable for storing a program or programs that, when executed, implement embodiments of the present invention. Accordingly, embodiments provide a program comprising code for implementing a system or method as claimed in any preceding claim and a machine readable storage storing such a program. Still further, embodiments of the present invention may be conveyed electronically via any medium such as a communication signal carried over a wired or wireless connection and embodiments suitably encompass the same.
All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and/cr all of the steps of any method or process so disclosed, may be combined in any combination, except combinations where at least some of such features and/or steps are mutually exclusive.
Each feature disclosed in this specificaton (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. Thus, unless
S
expressly stated otherwise, each feature disclosed is one example only of a generic series of equivalent or similar features.
The invention is not restricted to the details of any foregoing embodiments. The invention extends to any novel one, or any novel combination, of the features disclosed in this specification (including any accompanying claims, abstract and drawings), or to any novel one, or any novel combination, of the steps of any method or process so disclosed. The claims should not be construed to cover merely the foregoing embodiments, but also any embodiments which fall within the scope of the claims.
Further aspects of the invention are set out in the following numbered paragraphs: 1. A system for generating contact identifier recommendations, the system comprising: a group of contact identifier predictor modules, each of the contact identifier predictor modules having a first and second output ports, and each of the contact identifier predictor modules being adapted to provide a set of predicted contact identifiers to the second output port and a confidence value associated with each of the predicted contact identifiers to the first output port, wherein each confidence value is based on statistical data associated with usage events of the predicted contact identifiers; a weight storage module storing a set of weight values associated with a respective confidence value; a confidence measure adjustment module having an adjustment module output port, a first input port coupled to the first output port of each contact identifier predictor module and a second input port coupled to the weight storage module, the confidence measure adjustment module being adapted to modify each said confidence value based on the corresponding one of the weight values to provide weighted confidence values; and a selection module coupled to the adjustment module output port and the second output port of each of the contact identifier predictor modules, the selection module being adapted to select a set of contact identifier recommendations based on the weighted confidence values for the predicted contact identifiers.
2. The system of paragraph 1, including a user interface coupled to the selection module, wherein in operation the user interface displays the set of contact identifier recommendations.
3. The system of paragraph 2, including a weight updating module coupled to the user interface and to the weight storage module, wherein when a user selects one of the contact identifier recommendations to thereby make a telephone call, the weight updating module modifies at least one of the weight values in the weight storage module.
4. The system of paragraph 3, including a predictor updating module coupled to the user interface and contact identifier predictor modules, wherein when a user selects one of the contact identifier recommendations to thereby make a telephone call, the predictor updating module modifies the statistical data.
5. The system of paragraph 1, wherein the statistical data includes data based on frequency of usage of each contact identifier.
6. The system of paragraph 1, wherein the statistical data includes data based on missed calls.
7. The system of paragraph 1, including a present location idenfifier, and wherein the statistical data includes data based on the present locaton of the system.
8. The system of paragraph 7, wherein the statistical data includes data based on a destination of the system which is input via the user interface.
9. The system as claimed in any one preceding claim, wherein the statistical data includes data based on c the tme of day.
10. The system of paragraph 1, wherein the statistical data includes data based the day of the week.
11. The system of paragraph 1, wherein the system is part of a radio telephone.
12. The system of paragraph 1, wherein the contact identifier recommendations are in the form of telephone number caller identifier aliases.
13. A method for generating contact identifier recommendations, the method being performed on a system and the method comprising: obtaining, from a group of contact identifier predictor modules, a set of predicted contact identifiers and a confidence value associated with each of the predicted contact identifiers, wherein each confidence value is based on statistical data associated with usage events of the predicted contact identifiers; modifying each said confidence value based on a corresponding weight value to provide weighted confidence value; and selecting a set of contact identifier recommendations based on the weighted confidence values for the predicted contact identifiers.
14. The method of paragraph 13 including a step of displaying the set of contact identifier recommendations on a user interface.
15. The method of paragraph 14, including modifying at least one of the weight values when a user selects one of the contact identifier recommendations to thereby make a telephone call.
16. The method of paragraph 13, including modifying the statistical data when a user selects one of the contact identifier recommendations to thereby make a telephone call.
17. The method of paragraph 13, wherein the statistical data includes data based on frequency of usage of each contact identifier.
18. The method of paragraph 13, wherein the statistical data includes data based on missed calls.
19. The method of paragraph 13, wherein the statistical data includes data based on the present location of the system.
20. The method of paragraph 13, wherein the statistical data includes data based on a destination of the system which is input via the user interface.
21. The method of paragraph 13, wherein the statistical data includes data based on the time of day.
22. The method of paragraph 13, wherein the statistical data includes data based on the day of the week.
23. The method of paragraph 1, wherein the contact identifier recommendations are in the form of telephone number caller identifier aliases.
24. A vehicle including the system of paragraph 1.

Claims (26)

  1. CLAIMS1. A system for generating contact identifier recommendations, the system comprising: a group of contact identifier predictor means, each of the contact identifier predictor means having a first and second output ports, and each of the contact identifier predictor means being adapted to provide a set of predicted contact identifiers to the second output port and a confidence value associated with each of the predicted contact identifiers to the first output port, wherein each confidence value is based on statistical data associated with usage events of the predicted contact identifiers; a weight storage means storing a set of weight values associated with a respective confidence value; a confidence measure adjustment means having an adjustment means output port, a first input port coupled to the first output port of each contact identifier predictor means and a second input port coupled to the weight storage means, the confidence measure adjustment means being adapted to modify each said confidence value based on the corresponding one of the weight values to provide weighted confidence values; and a selection means coupled to the adjustment means output port and the second output port of each of the contact identifier predictors, the selection means being adapted to select a set of contact identifier recommendations based on the weighted confidence values for the predicted contact identifiers.
  2. 2. The system as claimed in claim 1, including a user interface coupled to the selection means, wherein in operation the user interface displays the set of contact identifier recommendations.
  3. 3. The system as claimed in claim 2, including a weight updating means coupled to the user interface and to the weight storage means, wherein when a user selects one of the contact identifier recommendations to thereby make a telephone call, the weight updating means modifies at least one of the weight values in the weight storage means.
  4. 4. The system as claimed in claim 2 or 3, including a predictor updating means coupled to the user interface and contact identifier predictor means, wherein when a user selects one of the contact identifier recommendations to thereby make a telephone call, the predictor updating means modifies the statistical data.
  5. 5. The system as claimed in any one preceding claim, wherein the statistical data includes data based on frequency of usage of each contact identifier.
  6. 6. The system as claimed in any one preceding claim, wherein the statistical data includes data based on missed calls.
  7. 7. The system as claimed in any one preceding claim, including a present location identifier, and wherein the statistical data includes data based on the present location of the system.
  8. 8. The system as claimed in claim 7, wherein the statistical data includes data based on a destination of the system which is input via the user interface.
  9. 9. The system as claimed in any one preceding claim, wherein the statistical data includes data based the time of day.
  10. 10. The system as claimed in any one preceding claim, wherein the statistical data includes data based the day of the week.
  11. 11. The system as claimed in any one preceding claim, wherein the system is part of a radio telephone.
  12. 12. The system as claimed in any one preceding claim, wherein the contact identifier recommendations are in the form of telephone number caller identifier aliases.
  13. 13. A method for generating contact identifier recommendations, the method being performed on a system and the method comprising: obtaining, from a group of contact identifier predictor means, a set of predicted contact identifiers and a confidence value associated with each of the predicted contact identifiers, wherein each confidence value is based on statistical data associated with usage events of the predicted contact identifiers; modifying each said confidence value based on a corresponding weight value to provide weighted confidence value; and selecting a set of contact identifier recommendations based on the weighted confidence values for the predicted contact identifiers.
  14. 14. The method as claimed in claim 13 including a step of displaying the set of contact identifier recommendations on a user interface.
  15. 15. The method as claimed in claims 13 or 14, including modifying at least one of the weight values when a user selects one of the contact identifier recommendations to thereby make a telephone call.
  16. 16. The method as claimed in any one of claims 13 to 15, including modifying the statistical data when a user selects one of the contact identifier recommendations to thereby make a telephone call.
  17. 17. The method as claimed in any one of claims 13 to 16, wherein the statistical data includes data based on frequency of usage of each contact identifier.
  18. 18. The method as claimed in any one of claims 13 to 17, wherein the statistical data includes data based on missed calls.
  19. 19. The method as claimed in any one of claims 13 to 18, wherein the statistical data includes data based on the present location of the system.
  20. 20. The method as claimed in any one of claims 13 to 19, wherein the statistical data includes data based on a destination of the system which is input via the user interface.
  21. 21. The method as claimed in any one of claims 13 to 20, wherein the statistical data includes data based on the time of day.
  22. 22. The method as claimed in any one of claims 13 to 21, wherein the statistical data includes data based on the day of the week.
  23. 23. The method as claimed in any one of claims 13 to 22, wherein the contact identifier recommendations are in the form of telephone number caller identifier aliases.
  24. 24. A vehicle including the system as caimed in any one of claims ito 12.
  25. 25. A system substantially as described herein with reference to the accompanying drawings.
  26. 26. A method substantially as described herein with reference to the accompanying drawings.
GB1412195.8A 2014-07-09 2014-07-09 Generating contact identifier recommendations Withdrawn GB2528088A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2564699A (en) * 2017-07-21 2019-01-23 Jaguar Land Rover Ltd Apparatus and method for generating contact recommendations

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2056575A1 (en) * 2007-10-29 2009-05-06 Denso Corporation Vehicular handsfree apparatus
US20100029260A1 (en) * 2008-07-31 2010-02-04 Samsung Electronics Co., Ltd. Apparatus and method for recommending a communication party according to a user context using a mobile station
US20100042941A1 (en) * 2005-06-10 2010-02-18 Michael Steffen Vance Managing subset of user contacts

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100042941A1 (en) * 2005-06-10 2010-02-18 Michael Steffen Vance Managing subset of user contacts
EP2056575A1 (en) * 2007-10-29 2009-05-06 Denso Corporation Vehicular handsfree apparatus
US20100029260A1 (en) * 2008-07-31 2010-02-04 Samsung Electronics Co., Ltd. Apparatus and method for recommending a communication party according to a user context using a mobile station

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2564699A (en) * 2017-07-21 2019-01-23 Jaguar Land Rover Ltd Apparatus and method for generating contact recommendations
WO2019016250A1 (en) * 2017-07-21 2019-01-24 Jaguar Land Rover Limited Apparatus and method for generating contact recommendations
CN110870291A (en) * 2017-07-21 2020-03-06 捷豹路虎有限公司 Device and method for generating contact recommendation
GB2564699B (en) * 2017-07-21 2021-04-07 Jaguar Land Rover Ltd Apparatus and method for generating contact recommendations
US11889010B2 (en) 2017-07-21 2024-01-30 Jaguar Land Rover Limited Apparatus and method for generating contact recommendations

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