Filtered search results

• US 20060218111A1
• Filed: 04/21/2006
• Published: 09/28/2006
• Est. Priority Date: 05/13/2004
• Status: Abandoned Application

• Current Assignee: Hunter C. Cohen
• Original Assignee: Hunter C. Cohen
• Inventors: Cohen, Hunter C.
• Application Number:
  US11/409,418
• Publication Number:
  US 20060218111A1
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Correspondence, such as emails, is processed to develop a database of relationships between parties addressed on the correspondence including indirectly addressed parties such as those directly addressed in included, forwarded correspondence. The database may be used to determine the contact paths between users and addressed parties including the intermediary contacts required to complete contacts paths to selected addressed parties. Patterns of correspondence, including frequency and recency of correspondence may be detected and displayed. Statistically normal patterns of correspondence may be derived in order to determine if correspondence patterns for selected addressed parties deviate there from. Data associated with contact information, such as search result listings, may be filtered and ordered in accordance with contact path proximity and/or contact related preferences or attributes.

Claims

1. A method for ordering search results comprising:

accessing a database including data related to direct and indirect contacts between a selected individual and others;

searching the database to determine a search result set;

determining a proximity between the selected individual and each of the others related to the search result set; and

ordering the search result set in accordance with the determined proximities.

2. The method of claim 1 further comprising:

maintaining information in the database related to the relative strength of at least some of the contacts based on recency, frequency and/or duration of communications.

3. The method of claim 2 wherein determining the proximities further comprises:

determining the relative strengths of the determined proximities.

4. The method of claims 1, 2 or 3 where the contact(s) linked to the search result and/or the contact path(s) to the search result are exposed with or without exposing the search result itself.

5. A method for generating social network weighted group preferences, experiences, traits and/or other characteristics of individuals as expressed by a group, comprising:

a database of contact relationships;

evaluation of proximity between direct and/or indirect contacts;

linking of one or more individual preferences, experiences, traits and/or other characteristics of individuals to individual contacts; and

the ordered and/or filtered display or other reporting of characteristics exhibited by the group giving weight to such things as the frequency of the appearance of the characteristic and reflecting the proximity of the linked contact to the user and/or other contacts.

6. The method of claim 5 further comprising the addition of information about the nature or quality of contact relationships, such as recency, frequency and/or duration of communications, whereby the evaluation of proximity is enhanced to include the relative strength or quality of the contact relationships.

7. The method of claims 5 or 6 further comprising a sample characteristic dataset used to enhance the weighting process whereby characteristics of individuals co-appearing with or matching characteristics on the sample dataset are given additional weighting.

8. The method of claims 5, 6 or 7 where the contact(s) linked to the resulting dataset of characteristics and optionally including the contact path(s), are exposed with or without exposing the resulting dataset of characteristics itself.