IN2014KN03045A - - Google Patents

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Publication number
IN2014KN03045A
IN2014KN03045A IN3045KON2014A IN2014KN03045A IN 2014KN03045 A IN2014KN03045 A IN 2014KN03045A IN 3045KON2014 A IN3045KON2014 A IN 3045KON2014A IN 2014KN03045 A IN2014KN03045 A IN 2014KN03045A
Authority
IN
India
Prior art keywords
user
location
contacts
examples
relevant
Prior art date
Application number
Inventor
Guang Yang
Tushar Udeshi
Andrew Kirmse
Emil Praun
Pablo Bellver
Keir Banks Mierle
Original Assignee
Google Inc
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 Google Inc filed Critical Google Inc
Publication of IN2014KN03045A publication Critical patent/IN2014KN03045A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Remote Sensing (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Information Transfer Between Computers (AREA)
  • Telephonic Communication Services (AREA)
  • Navigation (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

In some examples, systems and techniques can provide a user with relevant contact information based on the user's location. In some examples, the user's location is provided to a server, which processes the user's contacts and other information associated with the user to determine which of the user's contacts are relevant to the user's current location. Relevant contacts can then be presented to the user. In other examples, systems and techniques can predict places that a user is likely to visit in the near future and automatically provide the user with information about such places. A prediction server can retrieve the user's location history and, based on the location history, use any of a variety of models to predict places that the user is likely to visit in the future, then prior to the user visiting the place, information relating to that place can be presented to the user.
IN3045KON2014 2012-06-22 2013-06-21 IN2014KN03045A (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201261662964P 2012-06-22 2012-06-22
US201261663058P 2012-06-22 2012-06-22
US201261663773P 2012-06-25 2012-06-25
US201261663798P 2012-06-25 2012-06-25
PCT/US2013/047186 WO2013192591A2 (en) 2012-06-22 2013-06-21 Ranking nearby destinations based on visit likelihoods and predicting future visits to places from location history

Publications (1)

Publication Number Publication Date
IN2014KN03045A true IN2014KN03045A (en) 2015-05-08

Family

ID=49769734

Family Applications (1)

Application Number Title Priority Date Filing Date
IN3045KON2014 IN2014KN03045A (en) 2012-06-22 2013-06-21

Country Status (6)

Country Link
US (3) US8949013B2 (en)
EP (3) EP3629195A1 (en)
KR (2) KR101979401B1 (en)
CN (2) CN107273437B (en)
IN (1) IN2014KN03045A (en)
WO (1) WO2013192591A2 (en)

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US20130345957A1 (en) 2013-12-26
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US20150073693A1 (en) 2015-03-12

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