Charles Lu

US Patent:

7818209, Oct 19, 2010

Filed:

Jul 31, 2003

Appl. No.:

10/632557

Inventors:

Charles Lu - Fremont CA, US
Sadashiv Adiga - Hercules CA, US

Assignee:

Campusi, Inc. - Fremont CA

International Classification:

G06F 17/60

US Classification:

705 1454, 705 1413, 705 1424, 705 1429

Abstract:

Finding a best price available for a selected product, computed including all relevant factors available to the search engine. Searching separately for the product by price, and concurrently, searching for any available coupons or other discounts available for that product from the seller. When obtaining price information, querying for relevant information relating to purchase decisions. Obtaining relevant information from third-party sources. When obtaining discount information, querying for relevant information relating to applicability of that discount. Matching price information with coupon information for each selected requested product, and computing an effective price to the potential buyer. Aggregating the information it obtains, and presenting that aggregated information. Filtering or sorting those results.

US Patent:

8407104, Mar 26, 2013

Filed:

Jun 9, 2006

Appl. No.:

11/450520

Inventors:

Charles Lu - Fremont CA, US
Sadashiv Adiga - Hercules CA, US

Assignee:

Campusi, Inc. - Fremont CA

International Classification:

G06Q 30/00

US Classification:

705 2664, 705 261, 705 2663, 705 267, 705 271, 705 272

Abstract:

A catalog based price search method comprises, among other things, associating a price search data with a particular data classifier of the set of data classifiers using a processor; creating a database having the price search data associated with the particular data classifier of the set of data classifiers, and different price search data associated with different data classifiers of the set of data classifiers; automatically rendering a structured view in a structured format of the set of data classifiers having the particular data classifier and different data classifiers; and processing a payment of an interested party when the structured view develops a patron base above a threshold value; and offering a subscription service on the structured view associated with the interested party when the patron base is above the threshold value.

US Patent:

20070276720, Nov 29, 2007

Filed:

May 26, 2006

Appl. No.:

11/441590

Inventors:

Charles Lu - Fremont CA, US
Sadashiv Adiga - Hercules CA, US

International Classification:

G06F 17/30

US Classification:

705 10

Abstract:

A method and system to gauge effectiveness of deals in a shopping environment are disclosed. In one aspect, a method of a server device includes identifying a special offering data of a mark-up language site when identification data of the mark-up language site is matched with a deal marker data, comparing the special offering data with a parameter of a known offering data to determine a substantial match between the special offering data and the known offering data and periodically indexing the special offering data when the special offering data has a distinctive competitive advantage when compared with the known offering data. The deal marker data may be automatically populated through an algorithm that compares each offering on the mark-up language site with a market value of the each offering, such that the deal marker data is an identifier data associated with the special offering data having a selling price lower than a threshold value from the known offering data.

US Patent:

20070276880, Nov 29, 2007

Filed:

May 26, 2006

Appl. No.:

11/441591

Inventors:

Charles Lu - Fremont CA, US
Sadashiv Adiga - Hercules CA, US

International Classification:

G06F 17/30

US Classification:

707203

Abstract:

A self-uploaded indexing and data clustering method and apparatus. In one embodiment, a method of a server device includes processing a merchant-uploaded inventory data to determine a set of meta-data attributes associated with the merchant-uploaded inventory data and creating an index data using the set of meta-data attributes associated with the merchant-uploaded inventory data. The merchant-uploaded inventory data may be compared with a previous inventory data of a particular merchant associated with both the merchant-uploaded inventory data and the previous inventory data to identify at least a portion of the set of meta-data attributes which do not need to be updated. The index data may be created using an incremental algorithm that builds on preexisting indexes which have substantially similar data as the index data and wherein the incremental algorithm builds on preexisting indexes by infusing into preexisting indexes the set of meta-data attributes associated with the merchant-uploaded inventory data other than the portion of the set of meta-data attributes which do not need to be updated.

US Patent:

20100205052, Aug 12, 2010

Filed:

Apr 6, 2010

Appl. No.:

12/754618

Inventors:

Charles Lu - Fremont CA, US
Sadashiv Adiga - Hercules CA, US

Assignee:

CAMPUSI, INC. - Fremont CA

International Classification:

G06Q 30/00
G06F 17/30
G06Q 10/00
G06N 3/02

US Classification:

705 1416, 707741, 705 1424, 707723, 705 1473, 707756, 705 28, 707737, 706 20, 707E17047, 707E17014

Abstract:

A self-uploaded indexing and data clustering method and apparatus is disclosed. In one embodiment, a method of a server device includes processing a merchant-uploaded inventory data to determine a set of meta-data attributes associated with the merchant-uploaded inventory data and creating an index data using the set of meta-data attributes associated with the merchant-uploaded inventory data. The merchant-uploaded inventory data may be compared with a previous inventory data of a particular merchant associated with both the merchant-uploaded inventory data and the previous inventory data to identify at least a portion of the set of meta-data attributes which do not need to be updated. The index data may be created using an incremental algorithm that builds on preexisting indexes which have substantially similar data as the index data.