Browse Prior Art Database

Determining a Level of Importance of an Entity

IP.com Disclosure Number: IPCOM000198123D
Publication Date: 2010-Jul-26
Document File: 38 page(s) / 8M

Publishing Venue

The IP.com Prior Art Database

Abstract

A system, method, and computer program product are provided for determining a level of importance of an entity. In use, an identifier of an entity is identified. Additionally, at least one source publishing entity information is searched for the identifier to determine at least one source publishing information associated with the entity. Further, the information associated with the entity is identified from the at least one source publishing the information associated with the entity. Still yet, the information is scored utilizing at least one predefined algorithm to generate at least one score, each score generated for a different one of the at least one predefined algorithm. Moreover, a value indicative of a level of importance of the entity is calculated, utilizing the at least one score.

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SYSTEM, METHOD, AND COMPUTER PROGRAM FOR DETERMINING A LEVEL OF IMPORTANCE OF AN ENTITY

Field of the Invention

[0001]           The present invention relates to profiles, and more particularly to identifying descriptive data associated with entities.

Background

[0002]           Profiles have become increasingly utilized to identify characteristics of entities for various purposes.  For example, the profiles have oftentimes been utilized for determining marketing information, offers, etc. that are targeted to the entities (e.g. based on the characteristics of the entity).  Unfortunately, the entity characteristics conventionally identified for inclusion in these profiles have been limited.  Just by way of example, the entity characteristics in a profile oftentimes include a numerous amount of information simply gathered for an entity from various sources, without necessarily including any particular meaning to the information.

[0003]           There is thus a need for addressing these and/or other issues associated with the prior art.

SUMMARY

[0004]           A system, method, and computer program product are provided for determining a level of importance of an entity.  In use, an identifier of an entity is identified.  Additionally, at least one source publishing entity information is searched for the identifier to determine at least one source publishing information associated with the entity.  Further, the information associated with the entity is identified from the at least one source publishing the information associated with the entity.  Still yet, the information is scored utilizing at least one predefined algorithm to generate at least one score, each score generated for a different one of the at least one predefined algorithm.  Moreover, a value indicative of a level of importance of the entity is calculated, utilizing the at least one score.

[0005]            

Brief Description of the Drawings

[0006]           Figure 1 illustrates a network architecture, in accordance with one possible embodiment. 

[0007]           Figure 2 illustrates an exemplary system, in accordance with one embodiment.

[0008]           Figure 3 illustrates a method for determining a level of importance of an entity, in accordance with one embodiment.

[0009]           Figure 4 illustrates a system for determining a level of importance of an entity, in accordance with another embodiment.

[0010]           Figures 5A-B illustrate a method for calculating a level of importance of an entity and a level of certainty for the level of importance, in accordance with yet another embodiment.

[0011]           Figure 6 illustrates a method for determining a level of importance of a person based on professional title of the person, in accordance with another embodiment.

[0012]           Figure 7 illustrates a method for determining a level of importance of a person based on a number of connections between the person and other persons as established by a social network service, in accordance with yet another embodime...