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LINKEDLN CORP

Overview
  • Total Patents
    232
  • GoodIP Patent Rank
    7,774
  • Filing trend
    ⇩ 95.0%
About

LINKEDLN CORP has a total of 232 patent applications. It decreased the IP activity by 95.0%. Its first patent ever was published in 2009. It filed its patents most often in United States and China. Its main competitors in its focus markets it methods for management, computer technology and digital networks are ADP LLC, FORESEE TECH CO LTD and CHENGDU QIANNIUCAO INFORMATION TECHNOLOGY CO LTD.

Patent filings in countries

World map showing LINKEDLN CORPs patent filings in countries
# Country Total Patents
#1 United States 226
#2 China 6

Patent filings per year

Chart showing LINKEDLN CORPs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Kenthapadi Krishnaram 17
#2 Bhasin Anmol 13
#3 Yan Baoshi 8
#4 Agarwal Deepak 7
#5 Sinha Shakti Dhirendraji 6
#6 Bhamidipati Venkata S J R 6
#7 Sundaresh Suman 6
#8 Feng Huining 6
#9 Liu Kun 5
#10 Jain Parul 5

Latest patents

Publication Filing date Title
US2019096007A1 Recommending connection paths to decision makers from professional social networks
US2019080249A1 Reducing electronic resource consumption using data inference
US2019066054A1 Accuracy of member profile retrieval using a universal concept graph
US2019050813A1 Context aware dynamic candidate pool retrieval and ranking
US2019052720A1 Dynamic candidate pool retrieval and ranking
US2018032961A1 Techniques for presenting a contextual contact list
US2019019158A1 Quality evaluation of recommendation service
US2018349501A1 Embedding user categories using graphs for enhancing searches based on similarities
US2018322463A1 Specialized user interfaces and processes for increasing user interactions with job postings in a social network / top jobs
US2018314756A1 Online social network member profile taxonomy
US2018308057A1 Joint optimization and assignment of member profiles
US2018300818A1 Mentor and mentee matching using social networking data
US2018285822A1 Ranking job offerings based on connection mesh strength
US2018285824A1 Search based on interactions of social connections with companies offering jobs
US2018268042A1 Entity-based dynamic database lockdown
US2018253655A1 Skills clustering with latent representation of words
US2018247271A1 Value of content relevance through search engine optimization
US2018247213A1 Query and ranking prediction using network action
US2017236073A1 Machine learned candidate selection on inverted indices
US2018189739A1 Finding a virtual team within a company for a job posting