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Aditya Pal

from San Jose, CA
Age ~43
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Also known as:
Pal Aditya
Phone and address:
5673 Drysdale Dr, San Jose, CA 95124
Connected to:
Amal K Pal, 72Baki Pal, 41Bharat Pal, 43Bunthon Pal, 80Gobinda B Pal, 44Jaskiran Pal, 40Juliana Pal, 93Kabashi Pal, 59Kausik Pal, 46Kristin Pal, 42

Aditya Pal Phones & Addresses

  • 5673 Drysdale Dr, San Jose, CA 95124
  • 1046 27Th St, Minneapolis, MN 55414 (612) 378-6037

Publications

Us Patents

Ranking Authors In Social Media Systems

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US Patent:
20120117059, May 10, 2012
Filed:
Nov 9, 2010
Appl. No.:
12/942577
Inventors:
Peter Richard Bailey - Kirkland WA, US
Chad Carson - Cupertino CA, US
Scott Joseph Counts - Seattle WA, US
Nikhil Bharat Dandekar - Bellevue WA, US
Ho John Lee - Palo Alto CA, US
Shubha Umesh Nabar - Mountain View CA, US
Aditya Pal - Minneapolis MN, US
Michael Ching - San Jose CA, US
Paul Alexander Dow - San Francisco CA, US
Shuang Guo - San Jose CA, US
Hyun-Ju Seo - Mountain View CA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 17/30
US Classification:
707723, 707E17084
Abstract:
The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

Determining Group Attributes And Matchings Tasks To A Group

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US Patent:
20190303824, Oct 3, 2019
Filed:
Jun 17, 2019
Appl. No.:
16/442620
Inventors:
- Armonk NY, US
Aditya Pal - San Jose CA, US
Fei Wang - San Jose CA, US
International Classification:
G06Q 10/06
G06Q 50/00
Abstract:
In a method for determining group attributes and matching tasks to a group, a plurality of individual attributes for members of a first group of a plurality of groups are determined, wherein each individual attribute has a type. Parameters of a first distribution of at least one type of individual attribute across members of the first group are estimated. Group attributes of the first group are determined based, at least in part, on the estimated parameters of the first distribution of at least one type of individual attribute. The determined group attributes of the first group are stored in a repository, wherein the repository includes group attributes associated with each group of the plurality of groups. A task is received, wherein the task is associated with a specific group attribute and the task is matched to one group of the plurality of groups based on the specific group attribute.

Identifying Multiple Languages In A Content Item

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US Patent:
20180189259, Jul 5, 2018
Filed:
Feb 2, 2017
Appl. No.:
15/422463
Inventors:
- Menlo Park CA, US
Aditya Pal - San Jose CA, US
Stanislav Funiak - Menlo Park CA, US
Seyoung Park - Menlo Park CA, US
Fei Huang - Menlo Park CA, US
International Classification:
G06F 17/27
Abstract:
A system for identifying language(s) for content items is disclosed. The system can identify different languages for content item words segments by identifying segment languages that maximize a probability across the segments. The probability can be a combination of: an author's likelihood for the language identified for the first word; a combination of transition frequencies for selected languages identified for words, the transition frequencies indicating likelihoods that a transition occurred to the selected language from the previous word's language; and a combination of observation probabilities indicating, for a given word in the content item, a likelihood the given word is in the identified language. For an in-vocabulary word, the observation probabilities can be based on learned probability for that word. For an out-of-vocabulary word, the probability can be computed by breaking the word into overlapping n-grams and computing combined learned probabilities that each n-gram is in the given language.

Attitude Inference

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US Patent:
20160364652, Dec 15, 2016
Filed:
Feb 18, 2016
Appl. No.:
15/046526
Inventors:
- Armonk NY, US
Jalal U. Mahmud - San Jose CA, US
Aditya Pal - San Jose CA, US
Michelle X. Zhou - Saratoga CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06N 7/00
G06F 17/30
G06Q 30/02
Abstract:
Embodiments relate predicting an attitude of a user towards a target without directly surveying the user. Social media data associated with or related to a target is collected and stored. A set of attitude features are computed from the collected data. A statistical model is built with both the collected data and the assessed attitude features. The statistical data is converted to an attitude prediction, with the prediction emanating from personal and social characteristics as evident in the social media data.

Attitude Inference

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US Patent:
20160364733, Dec 15, 2016
Filed:
Jun 9, 2015
Appl. No.:
14/734670
Inventors:
- Armonk NY, US
Jalal U. Mahmud - San Jose CA, US
Aditya Pal - San Jose CA, US
Michelle X. Zhou - Saratoga CA, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06Q 30/02
G06Q 50/00
G06F 17/18
Abstract:
Embodiments relate to a tool for predicting an attitude of a user towards a target without directly surveying the user. Social media data associated with or related to a target is collected and stored. A set of attitude features are computed from the collected data. A statistical model is built with both the collected data and the assessed attitude features. The statistical data is converted to an attitude prediction, with the prediction emanating from personal and social characteristics as evident in the social media data.

Attitude Detection

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US Patent:
20160314397, Oct 27, 2016
Filed:
Apr 22, 2015
Appl. No.:
14/693046
Inventors:
- Armonk NY, US
Jalal U. Mahmud - San Jose CA, US
Aditya Pal - San Jose CA, US
Michelle X. Zhou - Saratoga CA, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06N 5/04
G06N 99/00
Abstract:
Embodiments relate to detecting an attitude of a user towards a target prior to or without presence of a direct expression of the attitude. A dictionary is built with a first collection of positive attitude content and a second collection of negative attitude content. In addition, a statistical model of attitude relevance is constructed based on content based similarity metrics. The model utilizes the dictionary and statistically assesses attitude relevance. Based on the assessment the user is classified as relevant or non-relevant for attitude towards the target.

Attitude Detection

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US Patent:
20160314398, Oct 27, 2016
Filed:
Feb 18, 2016
Appl. No.:
15/046485
Inventors:
- Armonk NY, US
Jalal U. Mahmud - San Jose CA, US
Aditya Pal - San Jose CA, US
Michelle X. Zhou - Saratoga CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06N 5/04
G06N 99/00
Abstract:
Embodiments relate to detecting an attitude of a user towards a target prior to or without presence of a direct expression of the attitude. A dictionary is built with a first collection of positive attitude content and a second collection of negative attitude content. In addition, a statistical model of attitude relevance is constructed based on content based similarity metrics. The model utilizes the dictionary and statistically assesses attitude relevance. Based on the assessment the user is classified as relevant or non-relevant for attitude towards the target.

Optimization Of Trait And Expertise For Workforce Selection

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US Patent:
20160203433, Jul 14, 2016
Filed:
Jan 12, 2015
Appl. No.:
14/594200
Inventors:
- Armonk NY, US
Jalal U. Mahmud - San Jose CA, US
Aditya Pal - San Jose CA, US
N. Sadat Shami - Scarsdale NY, US
Fei Wang - Fremont CA, US
International Classification:
G06Q 10/06
Abstract:
A computer-implemented method for optimizing information workforce selection is provided. The computer-implemented method includes providing a ground-truth data collection of information of a plurality of candidates for a group or a team workforce selection. The computer-implemented method further includes determining at least one expertise and at least one trait characteristic, or at least one feature of each of the candidates within the plurality of candidates. The computer-implemented method further includes performing trait compability analysis that provides a compatibility score of potential candidates of the plurality of candidates, for a group. The computer-implemented method further includes performing a collaboration compability analysis that provides a collaboration compatibility score of plurality of potential candidate within the plurality of candidates. The computer-implemented method further includes optimizing at least one individual candidate or a team of candidates within the plurality of candidates, for the workforce selection.
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Aditya Pal from San Jose, CA, age ~43 Get Report