Searching, sorting, and displaying video clips and sound files by relevance
View Patent ↗A documents database has a plurality of documents, including but not limited to text files, video clips and sound files. Each document is associated with at least one category of a plurality of categories in a categories database, and each category has at least one keyword. A search request having at least one search term is received from a user, and a categories database is searched for categories having a keyword corresponding to the user search term to identify first level categories. The other keywords from the identified first level categories are retrieved and the documents database is searched for documents having a user search term or a retrieved keyword. The identified documents are then ranked and presented to the user. Other search expansion techniques, and display techniques, are also discussed.
1. A computer-implemented method of ranking persons, each person being associated with at least one document, a search engine identifying relevant documents based upon a search request for a person, the computer-implemented method comprising:
assigning a score to each person using the relationship
People
Rank
(
Y
)
=
kp
*
BoI
y
+
kn
*
NoS
y
∑
i
=
1
M
NoS
i
+
kd
*
PoE
(
DateOfElection
)
wherein:
Y denotes a person;
kp is a coefficient for a broadness of impact rank;
Bol y is the broadness of impact rank of the person Y;
kn is a coefficient for a number of searches made regarding the person Y;
NoS y is the number of searches made regarding the person Y;
NoS i is a number of searches made regarding each person;
kd is a coefficient for a proximity of an election involving the person Y;
PoE(DateOfElection) is a relevance factor based upon the proximity of an election involving the person Y;
PoE
(
DateOfElection
)
=
{
k
PoE
1
DateOfElection
-
CurrentDate
,
CurrentDate
<
DateOfElection
,
in
months
1
,
CurrentDate
=
DateOfElection
k
PoE
2
CurrentDate
-
DateOfElection
,
CurrentDate
>
DateOfElection
,
in
days
kpoE1 is a coefficient for a proximity of elections for a time before a date of the election involving the person Y;
kpoE2 is a coefficient for a proximity of elections for a time after the date of the election involving the person Y; and,
ranking the persons based upon the assigned scores,
wherein the assigning of a score to each person and the ranking of persons based upon the assigned scores are performed using software running on at least one computer including at least one non-transitory computer storage medium for storing the software for performing the assigning and the ranking, and
wherein a highest score of the persons relevant to the document is assigned to a document and documents are ranked based upon the assigned scores.
2. The method of claim 1 wherein the coefficient for the broadness of impact rank is a function of a type of a political office.
3. The method of claim 2 wherein the broadness of impact rank of the person Y is determined at least in part by whether the person Y is either a current holder of the political office, a former holder of the political office, or a candidate for the political office.