US7130777B2
Expired / Lapsed
US
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Method to hierarchical pooling of opinions from multiple sources
Assignee: LinkedIn Corp
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Filing: 2003-11-26
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Granted: 2006-10-31
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Expires: 2023-11-26
Abstract
Abstract Disclosed is a system, method, and program storage device of aggregating opinions comprising consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions, generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of the discrete probability distributions, and presenting the aggregate opinion as a Bayesian network, wherein the divergences comprise Kullback-Liebler distance divergences, and wherein the expressed opinions are generated by experts and comprise opinions on sentiments of products and services. Moreover, the aggregate opinion predicts success of the products and services. Furthermore, the experts are arranged in a hierarchy of knowledge, wherein the knowledge comprises the various dimensions of topics for which opinions may be expressed upon.
Inventors
- 👤 Ashutosh Garg
- 👤 Jayram S. Thathachar
- 👤 Shivakumar Vaithyanathan
- 👤 Huaiyu Zhu
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-28 21:27
CPC Classifications
G; G06; G06Q; G06Q30/00; G06Q30/02; G06Q30/0282
Claims Analysis
Total Claims: 34
Claim 1
Independent Claim
49 words
A method of aggregating opinions, said method comprising: consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions; and generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions.
Claim 2
Independent Claim
49 words
A method of aggregating opinions, said method comprising: consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions; and generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions.
Claim 3
Dependent Claim
13 words
The method of claim 1 , wherein said divergences comprise Kullback-Liebler distance divergences.
Claim 4
Dependent Claim
18 words
The method of claim 1 , wherein said expressed opinions comprise opinions on sentiments of products and services.
Claim 5
Dependent Claim
17 words
The method of claim 3 , wherein said aggregate opinion predicts success of said products and services.
Claim 6
Dependent Claim
14 words
The method of claim 1 , wherein said expressed opinions are generated by experts.
Claim 7
Dependent Claim
32 words
The method of claim 5 , wherein said experts are arranged in a hierarchy of knowledge, wherein said knowledge comprises said various dimensions of topics for which opinions may be expressed upon.
Claim 8
Dependent Claim
16 words
The method of claim 1 , further comprising presenting said aggregate opinion as a Bayesian network.
Claim 9
Independent Claim
62 words
A method of pooling opinions, said method comprising: representing a plurality of expressed opinions received from a plurality of sources on various dimensions of topics as discrete probability distributions; creating a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions; and generating an aggregate opinion based on said single point probability distribution.
Claim 10
Independent Claim
62 words
A method of pooling opinions, said method comprising: representing a plurality of expressed opinions received from a plurality of sources on various dimensions of topics as discrete probability distributions; creating a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions; and generating an aggregate opinion based on said single point probability distribution.
Claim 11
Dependent Claim
13 words
The method of claim 8 , wherein said divergences comprise Kullback-Liebler distance divergences.
Claim 12
Dependent Claim
18 words
The method of claim 8 , wherein said expressed opinions comprise opinions on sentiments of products and services.
Claim 13
Dependent Claim
17 words
The method of claim 10 , wherein said aggregate opinion predicts success of said products and services.
Claim 14
Dependent Claim
14 words
The method of claim 8 , wherein said expressed opinions are generated by experts.
Claim 15
Dependent Claim
32 words
The method of claim 12 , wherein said experts are arranged in a hierarchy of knowledge, wherein said knowledge comprises said various dimensions of topics for which opinions may be expressed upon.
Claim 16
Dependent Claim
16 words
The method of claim 8 , further comprising presenting said aggregate opinion as a Bayesian network.
Claim 17
Independent Claim
55 words
A system for aggregating opinions comprising: a network operable for consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions; and a processor operable for generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions.
Claim 18
Independent Claim
55 words
A system for aggregating opinions comprising: a network operable for consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions; and a processor operable for generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions.
Claim 19
Dependent Claim
13 words
The system of claim 15 , wherein said divergences comprise Kullback-Liebler distance divergences.
Claim 20
Dependent Claim
18 words
The system of claim 15 , wherein said expressed opinions comprise opinions on sentiments of products and services.
Claim 21
Dependent Claim
17 words
The system of claim 17 , wherein said aggregate opinion predicts success of said products and services.
Claim 22
Dependent Claim
14 words
The system of claim 15 , wherein said expressed opinions are generated by experts.
Claim 23
Dependent Claim
32 words
The system of claim 19 , wherein said experts are arranged in a hierarchy of knowledge, wherein said knowledge comprises said various dimensions of topics for which opinions may be expressed upon.
Claim 24
Dependent Claim
17 words
The system of claim 1 , wherein said processor presents said aggregate opinion as a Bayesian network.
Claim 25
Independent Claim
51 words
A system for aggregating opinions comprising: means for consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions; and means for generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions.
Claim 26
Independent Claim
51 words
A system for aggregating opinions comprising: means for consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions; and means for generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions.
Claim 27
Dependent Claim
68 words
A program storage device readable by computer, tangibly embodying a program of instructions executable by said computer to perform a method of aggregating opinions, said method comprising: consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions; and generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions.
Claim 28
Dependent Claim
68 words
A program storage device readable by computer, tangibly embodying a program of instructions executable by said computer to perform a method of aggregating opinions, said method comprising: consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions; and generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of said discrete probability distributions.
Claim 29
Dependent Claim
15 words
The program storage device of claim 23 , wherein said divergences comprise Kullback-Liebler distance divergences.
Claim 30
Dependent Claim
20 words
The program storage device of claim 23 , wherein said expressed opinions comprise opinions on sentiments of products and services.
Claim 31
Dependent Claim
19 words
The program storage device of claim 25 , wherein said aggregate opinion predicts success of said products and services.
Claim 32
Dependent Claim
16 words
The program storage device of claim 23 , wherein said expressed opinions are generated by experts.
Claim 33
Dependent Claim
34 words
The program storage device of claim 27 , wherein said experts are arranged in a hierarchy of knowledge, wherein said knowledge comprises said various dimensions of topics for which opinions may be expressed upon.
Claim 34
Dependent Claim
21 words
The program storage device of claim 23 , wherein said method further comprises presenting said aggregate opinion as a Bayesian network.
References Cited (Backward Citations)
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