US20080281705A1 - Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment - Google Patents
Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment Download PDFInfo
- Publication number
- US20080281705A1 US20080281705A1 US11/984,140 US98414007A US2008281705A1 US 20080281705 A1 US20080281705 A1 US 20080281705A1 US 98414007 A US98414007 A US 98414007A US 2008281705 A1 US2008281705 A1 US 2008281705A1
- Authority
- US
- United States
- Prior art keywords
- buyer
- sell
- sellers
- request
- ads
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0273—Determination of fees for advertising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0613—Third-party assisted
- G06Q30/0619—Neutral agent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Definitions
- the present invention relates to electronic commerce using electronic networks.
- Internet related businesses are among the fastest growing industries in the world.
- One of the preferred services for consumers on the Internet is the sale of commodities through auction and other trading sites. Online auctions are becoming the preferred platform for doing business for more and more people.
- C2C auction sites heavily favor sellers because sellers set the terms and prices are constantly driven higher by bidders. It would be beneficial to buyers to have a buyer-oriented service in which sellers compete for buyers, hence driving the price down.
- the present invention is directed to a system that searches for and notifies sellers of a potential buyer for goods or services offered for sale by the sellers.
- Sellers can generate offers through the system. The buyer and all prospective sellers will see the products for sale and the best offers, thereby allowing sellers to offer a lower price and/or better terms.
- the bidding process drives the price down—thus benefiting the consumer.
- the goods or services may be, for example, merchandise and wares, real estate, software, an enabling password, access to information.
- FIG. 1 is a schematic illustration of a system according to an embodiment of the present invention.
- the system comprises a hypertext transfer protocol (HTTP) server, a search engine, a matching unit, an alert module and a database.
- HTTP hypertext transfer protocol
- the system also comprises a buyer request processor and a seller offer generator and processor.
- the system enables sellers 1 through N who have posted “sell ads” 1 through N, respectively, on a network such as the Internet, to compete for a buyer, who may optionally have posted a want ad on the network.
- the HTTP server provides the interface of the system to buyers and sellers.
- the buyer can send raw buyer requests, which are processed by the buyer request processor and stored in the database.
- the buyer can also see via the HTTP server a list of matched sell ads and the current status of seller offers for the buyer request.
- sellers can generate seller offers, which are received and processed by seller offer generator and processor and stored in the database.
- the seller can also see via the HTTP server the current status of seller offers for the buyer request.
- the selection is made via the HTTP server and provided to the purchase handler for handling.
- the search engine actively searches sell ads posted by sellers on the network for matches with processed buyer requests.
- the search engine actively searches want ads posted by buyers on the network and actively searches sell ads posted by sellers on the network for matches with the want ads.
- the searches are indicated in FIG. 1 by dashed-and-dotted lines.
- the search engine makes use of the matching unit for determining which sell ads match which buyer requests (and/or want sell ads) and to what degree.
- FIG. 2 is a flowchart illustration of a method for using the system of FIG. 1 according to three embodiments.
- a buyer accesses the system, agrees to terms of use of the system, and makes a raw buyer request via the HTTP server (step 200 ).
- a buyer request which states what the buyer is looking to buy, may be presented in any of a variety of formats, including a completed online form, an e-mail message, and a recorded voice message.
- a buyer must provide some form of contact information, for example a name, e-mail address, home or work address and telephone number.
- a buyer might also specify the proximity of the seller to a geographic location.
- a buyer interested in buying a vacuum cleaner may enter the following description: “Upright vacuum with attachments. Must include extra bags and belt. Up to 5 years old. Good condition!”.
- a buyer interested in buying a laptop would specify all or part of the following criteria: category, title, vendor/make, speed, condition, price and warranty.
- the buyer request processor generates a buyer request (step 202 ).
- the buyer request is stored in the database and sent to the search engine (step 204 ).
- the search engine searches the network for matched sell ads (step 206 ). For example, the search engine searches online classified advertisements posted by sellers. The online classified advertisements are searched to find matches. For example, if the buyer is looking to buy a red sports car from 1995, the search engine will search online classified advertisements for matches.
- Buyer requests may be represented by a vector of parameters and compared to a corresponding parameterized seller's ad (auction. classified).
- the matching unit Will determine a match possibly by using a heuristic algorithm or by using an algorithm based on fuzzy logic or any other algorithm that will determine how close is the match.
- buyer requests or sell ads may originate in free text (spoken or written). In these cases sophisticated parsing (and recognition, for spoken text) will be required to transform them into specific format that will allow an intelligent comparison.
- the search of the network may be conducted online or offline.
- the search of the network is conducted offline.
- An exhaustive search on all classified advertisement sites is performed, and then sell ads are mapped to a common format and indexed in the database.
- the buyer request is matched according to the information in the database. This results in improved time performance.
- the search of the network is conducted online. Sell ads are searched immediately upon processing of the buyer request and compared to the buyer request in order to determine whether there is a match. In this embodiment, the sell ads are more up-to-date, but the time performance will be relatively slow.
- the database can save matches for future buyer requests regarding similar items.
- the system displays to the buyer via the HTTP server a list of matched sell ads (step 206 ).
- This list may be a complete list or may be an edited, partial list.
- the buyer selects for which of the displayed sell ads the system should contact the seller (step 208 ). Alternatively, the buyer instructs the system to contact all or a portion of sellers of matched sell ads. Alternatively, the system contacts all or a portion of sellers of matched sell ads without buyer intervention.
- the search engine will extract contact information for the matched sellers from the classified advertisements and will send this contact information to the alert module.
- the alert module will send notifications to the matched sellers, SELLER 1 to SELLER N, that a potential buyer for the product advertised in the classified ad can be reached via the system (step 210 ).
- notifications include an e-mail message or a voice message generated by the system, a personalized e-mail or voice mail or voice message generated by the buyer, a pager notification, a phone call from a direct marketing call center, and a text or voice notification to a cellular telephone or personal data assistant (PDA).
- PDA personal data assistant
- the notification will include a link to a page posted by the HTTP server. The page will present the current status of seller offers for the particular buyer request.
- the sellers can generate processed seller offers, which are saved in the database (steps 212 - 214 ).
- the alert module notifies the buyer that new seller offers exist (step 216 ).
- the alert module also notifies the other sellers that a new seller offer exists, thus inviting the other sellers to generate new, lower-priced seller offers (step 218 ).
- a bidding process begins which drives the price down or improving other terms of the offer, benefiting the buyer.
- the buyer selects one or more desired seller offers (step 220 ), and the purchase handler enables the buyer and the seller to complete the sale (step 222 ).
- the search engine actively searches the network want ads and sell ads for matches (step 250 ), and stores the matches in the database (step 252 ).
- the alert module notifies the buyer who placed a want ad that matching sell ads have been found and invites the buyer to access the system (step 254 ).
- the buyer accesses the system and the system displays a list of matched sell ads (step 256 ). This list may be a complete list or may be an edited, partial list.
- the buyer agrees to the terms of use of the system (step 258 ), and the method continues from step 208 as in the first embodiment.
- sellers initiate the process by accessing the system and making a raw selling offer via the HTTP server (step 280 ).
- Seller offer generator and processor processes the raw selling offer and matches it with buyer requests already in the database (step 282 ).
- the alert module notifies the buyer of the new seller offer (step 216 ), and the method continues from step 218 as in the first embodiment.
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Technology Law (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A method for using a computer connected to a network to match buyers and sellers, the method including: receiving a buyer request from a buyer, the buyer request including a request to purchase a good or service, having the computer search sites on the network for sell ads from sellers, each of the sell ads referring to an advertised good or advertised service, matching the buyer request with at least one of the sell ads, and notifying the associated seller for each matched sell ad that the buyer has requested a good or service similar to the advertised good or advertised service advertised in the matched sell ad. According to another embodiment of the present invention, a system for matching buyers and sellers, the sellers advertising goods or services via sell ads posted on sites on a network, the system including: means for receiving a buyer request from a buyer, the buyer request including a request to purchase a good or service, means for searching the sell ads for goods or services similar to those included in the request, means for enabling a seller to make an offer to the buyer, means for informing the seller of other offers made to the buyer. According to another embodiment of the present invention, a method for using a computer connected to a network to match buyers and sellers, the method including: having the computer search sites on the network for want ads from buyers, each of the want ads referring to a wanted good or wanted service, having the computer search sites on the network for sell ads from sellers, each of the sell ads referring to an advertised good or advertised service, matching at least one of the want ads with at least one of the sell ads, and notifying the associated buyer who posted the want ad that at least one sell ad has been matched to the want ad.
Description
- The present invention relates to electronic commerce using electronic networks.
- Internet related businesses are among the fastest growing industries in the world. One of the preferred services for consumers on the Internet is the sale of commodities through auction and other trading sites. Online auctions are becoming the preferred platform for doing business for more and more people.
- Today's consumer-to-consumer (C2C) auction sites heavily favor sellers because sellers set the terms and prices are constantly driven higher by bidders. It would be beneficial to buyers to have a buyer-oriented service in which sellers compete for buyers, hence driving the price down.
- The present invention is directed to a system that searches for and notifies sellers of a potential buyer for goods or services offered for sale by the sellers. Sellers can generate offers through the system. The buyer and all prospective sellers will see the products for sale and the best offers, thereby allowing sellers to offer a lower price and/or better terms. The bidding process drives the price down—thus benefiting the consumer.
- The goods or services may be, for example, merchandise and wares, real estate, software, an enabling password, access to information.
- Sellers are attracted to the system because they know the buyer is serious and ready to make a purchase otherwise the buyer would not have responded to their sale offer
- Reference is now made to
FIG. 1 , which is a schematic illustration of a system according to an embodiment of the present invention. The system comprises a hypertext transfer protocol (HTTP) server, a search engine, a matching unit, an alert module and a database. The system also comprises a buyer request processor and a seller offer generator and processor. The system enablessellers 1 through N who have posted “sell ads” 1 through N, respectively, on a network such as the Internet, to compete for a buyer, who may optionally have posted a want ad on the network. - Three embodiments of using the system of
FIG. 1 will be described hereinbelow inFIG. 2 . In each of these embodiments, the components of the system shown inFIG. 1 perform identical or similar actions. The HTTP server provides the interface of the system to buyers and sellers. Via the HTTP server, the buyer can send raw buyer requests, which are processed by the buyer request processor and stored in the database. The buyer can also see via the HTTP server a list of matched sell ads and the current status of seller offers for the buyer request. Via the HTTP server, sellers can generate seller offers, which are received and processed by seller offer generator and processor and stored in the database. The seller can also see via the HTTP server the current status of seller offers for the buyer request. When a buyer is ready to select at least one of the seller offers, the selection is made via the HTTP server and provided to the purchase handler for handling. - The search engine actively searches sell ads posted by sellers on the network for matches with processed buyer requests. In an alternative embodiment, the search engine actively searches want ads posted by buyers on the network and actively searches sell ads posted by sellers on the network for matches with the want ads. The searches are indicated in
FIG. 1 by dashed-and-dotted lines. The search engine makes use of the matching unit for determining which sell ads match which buyer requests (and/or want sell ads) and to what degree. - Reference is now made to
FIG. 2 , which is a flowchart illustration of a method for using the system ofFIG. 1 according to three embodiments. In the first embodiment, a buyer accesses the system, agrees to terms of use of the system, and makes a raw buyer request via the HTTP server (step 200). A buyer request, which states what the buyer is looking to buy, may be presented in any of a variety of formats, including a completed online form, an e-mail message, and a recorded voice message. A buyer must provide some form of contact information, for example a name, e-mail address, home or work address and telephone number. A buyer might also specify the proximity of the seller to a geographic location. As a first example, a buyer interested in buying a vacuum cleaner may enter the following description: “Upright vacuum with attachments. Must include extra bags and belt. Up to 5 years old. Good condition!”. As a second example, a buyer interested in buying a laptop would specify all or part of the following criteria: category, title, vendor/make, speed, condition, price and warranty. The buyer request processor generates a buyer request (step 202). The buyer request is stored in the database and sent to the search engine (step 204). - The search engine searches the network for matched sell ads (step 206). For example, the search engine searches online classified advertisements posted by sellers. The online classified advertisements are searched to find matches. For example, if the buyer is looking to buy a red sports car from 1995, the search engine will search online classified advertisements for matches.
- Buyer requests may be represented by a vector of parameters and compared to a corresponding parameterized seller's ad (auction. classified). The matching unit Will determine a match possibly by using a heuristic algorithm or by using an algorithm based on fuzzy logic or any other algorithm that will determine how close is the match. In other instances buyer requests or sell ads may originate in free text (spoken or written). In these cases sophisticated parsing (and recognition, for spoken text) will be required to transform them into specific format that will allow an intelligent comparison.
- The search of the network may be conducted online or offline. According to one embodiment of the present invention, the search of the network is conducted offline. An exhaustive search on all classified advertisement sites is performed, and then sell ads are mapped to a common format and indexed in the database. When a buyer request is received online, the buyer request is matched according to the information in the database. This results in improved time performance. According to another embodiment of the present invention, the search of the network is conducted online. Sell ads are searched immediately upon processing of the buyer request and compared to the buyer request in order to determine whether there is a match. In this embodiment, the sell ads are more up-to-date, but the time performance will be relatively slow. However, the database can save matches for future buyer requests regarding similar items.
- The system displays to the buyer via the HTTP server a list of matched sell ads (step 206). This list may be a complete list or may be an edited, partial list. The buyer selects for which of the displayed sell ads the system should contact the seller (step 208). Alternatively, the buyer instructs the system to contact all or a portion of sellers of matched sell ads. Alternatively, the system contacts all or a portion of sellers of matched sell ads without buyer intervention.
- The search engine will extract contact information for the matched sellers from the classified advertisements and will send this contact information to the alert module. The alert module will send notifications to the matched sellers,
SELLER 1 to SELLER N, that a potential buyer for the product advertised in the classified ad can be reached via the system (step 210). Non-limiting examples of notifications include an e-mail message or a voice message generated by the system, a personalized e-mail or voice mail or voice message generated by the buyer, a pager notification, a phone call from a direct marketing call center, and a text or voice notification to a cellular telephone or personal data assistant (PDA). The notification will include a link to a page posted by the HTTP server. The page will present the current status of seller offers for the particular buyer request. - Through the HTTP server, the sellers can generate processed seller offers, which are saved in the database (steps 212-214). The alert module notifies the buyer that new seller offers exist (step 216). The alert module also notifies the other sellers that a new seller offer exists, thus inviting the other sellers to generate new, lower-priced seller offers (step 218). A bidding process begins which drives the price down or improving other terms of the offer, benefiting the buyer. The buyer selects one or more desired seller offers (step 220), and the purchase handler enables the buyer and the seller to complete the sale (step 222).
- According to the second embodiment, the search engine actively searches the network want ads and sell ads for matches (step 250), and stores the matches in the database (step 252). The alert module notifies the buyer who placed a want ad that matching sell ads have been found and invites the buyer to access the system (step 254). The buyer accesses the system and the system displays a list of matched sell ads (step 256). This list may be a complete list or may be an edited, partial list. The buyer agrees to the terms of use of the system (step 258), and the method continues from
step 208 as in the first embodiment. - In the third embodiment, sellers initiate the process by accessing the system and making a raw selling offer via the HTTP server (step 280). Seller offer generator and processor processes the raw selling offer and matches it with buyer requests already in the database (step 282). The alert module notifies the buyer of the new seller offer (step 216), and the method continues from
step 218 as in the first embodiment. - While certain features of the invention have been illustrated and described herein, many modifications, substitutions, changes, and equivalents will now occur to those of ordinary skill in the art. It is, therefore, to be understood that the appended claims are intended to cover all such modifications and changes as fall within the true spirit of the invention.
Claims (6)
1-6. (canceled)
7. A method of matching selling advertisements, comprising:
managing a plurality of sell advertisements each for a product;
receiving a buyer request from a potential buyer, said buyer request identifying a specific product;
identifying at least one matched sell advertisement for selling said requested product by matching said buyer request with said plurality of sell advertisements; and
outputting a list comprising said at least one matched sell advertisement.
8. The method of claim 7 , wherein said buyer request is a search request.
9. The method of claim 7 , wherein said product is a service.
10. The system for matching selling advertisements, comprising:
A database configured for mapping a plurality of sell advertisements each for a product or service;
a hypertext transfer protocol (HTTP) server configured for receiving a buyer request from a potential buyer, said buyer request identifying a specific product or service;
a matching unit configured for identifying at least one matched sell advertisement by matching said buyer request with said plurality of sell advertisements; and
an output unit configured for outputting a list comprising said at least one matched sell advertisements.
11. The system of claim 10 , wherein said buyer request is a search request.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/984,140 US20080281705A1 (en) | 2000-02-14 | 2007-11-14 | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US18221300P | 2000-02-14 | 2000-02-14 | |
US09/780,469 US7302404B2 (en) | 2000-02-14 | 2001-02-12 | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
US11/984,140 US20080281705A1 (en) | 2000-02-14 | 2007-11-14 | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/780,469 Continuation US7302404B2 (en) | 2000-02-14 | 2001-02-12 | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
Publications (1)
Publication Number | Publication Date |
---|---|
US20080281705A1 true US20080281705A1 (en) | 2008-11-13 |
Family
ID=26877900
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/780,469 Active 2024-07-12 US7302404B2 (en) | 2000-02-14 | 2001-02-12 | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
US11/984,140 Abandoned US20080281705A1 (en) | 2000-02-14 | 2007-11-14 | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/780,469 Active 2024-07-12 US7302404B2 (en) | 2000-02-14 | 2001-02-12 | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
Country Status (1)
Country | Link |
---|---|
US (2) | US7302404B2 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070112729A1 (en) * | 2005-11-04 | 2007-05-17 | Microsoft Corporation | Geo-tagged based listing service and mapping engine |
US20090171948A1 (en) * | 2007-12-31 | 2009-07-02 | Peer 39 Inc. | Method and a system for selecting advertising spots |
US20100125523A1 (en) * | 2008-11-18 | 2010-05-20 | Peer 39 Inc. | Method and a system for certifying a document for advertisement appropriateness |
Families Citing this family (45)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7392214B1 (en) * | 1999-04-30 | 2008-06-24 | Bgc Partners, Inc. | Systems and methods for trading |
US7302404B2 (en) * | 2000-02-14 | 2007-11-27 | Auctionkiller | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
GB0005026D0 (en) * | 2000-03-03 | 2000-04-26 | Hewlett Packard Co | Generating and logging reminders whilst mobile |
US20010037280A1 (en) * | 2000-03-09 | 2001-11-01 | Ingraham Scott S. | System and method for facilitating renting and purchasing relationships |
US20020010636A1 (en) * | 2000-07-20 | 2002-01-24 | Immel John J. | Incentive system for use with a system using a network to facilitate transactions between a buyer and at least one seller |
US6807568B1 (en) * | 2000-07-27 | 2004-10-19 | Union Beach, L.P. | Recipient selection of information to be subsequently delivered |
US20030036963A1 (en) * | 2000-11-20 | 2003-02-20 | Jeffrey Jacobson | Method and system for aggregating real estate information content in an on-line computing environment |
US20020062218A1 (en) * | 2000-11-20 | 2002-05-23 | Carolyn Pianin | Method and system for providing property management services in an on-line computing evironment |
EP1235169A1 (en) * | 2001-02-21 | 2002-08-28 | BRITISH TELECOMMUNICATIONS public limited company | Supply of personalised information |
WO2002077888A1 (en) * | 2001-03-26 | 2002-10-03 | Makoto Dojo | Charging device, charging method, transaction supporting device, and transaction supporting method |
US7392217B2 (en) * | 2001-05-09 | 2008-06-24 | Bgc Partners, Inc. | Systems and methods for controlling traders from manipulating electronic trading markets |
US20020198761A1 (en) * | 2001-06-11 | 2002-12-26 | First Look Networks, L.L.C. | System and method for identifying a market by projecting demand and identifying supply |
US7890375B2 (en) | 2001-07-31 | 2011-02-15 | Half.Com, Inc. | Method and system to facilitate pre-ordering via an electronic commerce facility, and to automatically facilitate satisfying of a pre-order upon listing of an appropriate offer via the electronic commerce facility |
US7212614B1 (en) * | 2001-11-09 | 2007-05-01 | At&T Corp | Voice-messaging with attachments |
US7565377B2 (en) * | 2001-12-05 | 2009-07-21 | Robert Michael Watson | Artificially intelligent fulfillment system |
US7660741B2 (en) * | 2002-03-04 | 2010-02-09 | I2 Technologies Us, Inc. | Sourcing under quantity pricing rules |
US20050165642A1 (en) * | 2002-05-07 | 2005-07-28 | Gabriel-Antoine Brouze | Method and system for processing classified advertisements |
US20030225599A1 (en) * | 2002-05-30 | 2003-12-04 | Realty Datatrust Corporation | System and method for data aggregation |
EP1416363A3 (en) | 2002-10-31 | 2006-07-26 | eSpeed, Inc. | Keyboard for trading system |
GB2395036A (en) | 2002-10-31 | 2004-05-12 | Espeed Inc | Trading interface using keyboard |
US8131626B2 (en) | 2003-11-17 | 2012-03-06 | Bgc Partners, Inc. | Customizable trading display of market data |
US8131625B2 (en) * | 2003-11-17 | 2012-03-06 | Bgc Partners, Inc. | Customizable trading display of market data |
US20050131799A1 (en) * | 2003-12-15 | 2005-06-16 | Danny Clay | Enhanced online auction method apparatus and system |
US20050131724A1 (en) * | 2003-12-15 | 2005-06-16 | Danny Clay | Enhanced online auction method and apparatus |
US20050216364A1 (en) * | 2004-03-25 | 2005-09-29 | Jurisic Allen P | System and method for a buyer driven transaction |
US7698169B2 (en) * | 2004-11-30 | 2010-04-13 | Ebay Inc. | Method and system to provide wanted ad listing within an e-commerce system |
CA2518012A1 (en) | 2005-03-24 | 2006-09-24 | Espeed, Inc. | Systems and methods for protecting against erroneous price entries in the electronic trading of financial and other instruments |
US7844500B2 (en) * | 2005-11-18 | 2010-11-30 | Manhattan Bridge Capital, Inc. | Method for matching vendors with consumers |
ES2318929B2 (en) * | 2006-01-05 | 2009-10-19 | Universidad Politecnica De Madrid | TELEMATIC MATCHING PROCEDURE BETWEEN OFFERS AND DEMANDERS. |
US8229832B2 (en) * | 2006-01-09 | 2012-07-24 | Bgc Partners, Inc. | Systems and methods for establishing first on the follow trading priority in electronic trading systems |
US8676654B2 (en) * | 2006-02-07 | 2014-03-18 | Ebiz Industries, Inc. | Method and system for facilitating a purchase process |
US20080040141A1 (en) | 2006-07-20 | 2008-02-14 | Torrenegra Alex H | Method, System and Apparatus for Matching Sellers to a Buyer Over a Network and for Managing Related Information |
US8099415B2 (en) * | 2006-09-08 | 2012-01-17 | Simply Hired, Inc. | Method and apparatus for assessing similarity between online job listings |
US20140180863A1 (en) * | 2007-12-21 | 2014-06-26 | Yellcast, Inc. | Product or service requests system for mobile customers |
JP2010000632A (en) * | 2008-06-18 | 2010-01-07 | Canon Inc | Substrate for inkjet head, and inkjet head equipped with substrate |
US20100010912A1 (en) * | 2008-07-10 | 2010-01-14 | Chacha Search, Inc. | Method and system of facilitating a purchase |
CN101751639A (en) * | 2008-12-17 | 2010-06-23 | 上海西本钢铁贸易发展有限公司 | Method and system for electronic transaction platform based on network |
US20100161429A1 (en) * | 2008-12-19 | 2010-06-24 | Mandel Edward W | System and Method for Live-Interaction Advertising |
US20100161420A1 (en) * | 2008-12-19 | 2010-06-24 | Nexplore Technologies, Inc. | System and method for providing advertisement lead calling |
US20100257055A1 (en) * | 2008-12-19 | 2010-10-07 | Mandel Edward W | Systems And Methods For Advertisement Lead Calling |
US20100161430A1 (en) * | 2008-12-19 | 2010-06-24 | Nexplore Technologies, Inc. | System and method for live-interaction content |
US20120284117A1 (en) * | 2009-12-14 | 2012-11-08 | Jyothi Marie Karandikar | Method and system for advertising |
US8566866B1 (en) | 2012-05-09 | 2013-10-22 | Bluefin Labs, Inc. | Web identity to social media identity correlation |
US11205209B2 (en) * | 2013-03-15 | 2021-12-21 | Fashion For Globe Llc | Methods for searching and obtaining clothing designs while discouraging copying |
US20150120387A1 (en) * | 2013-10-28 | 2015-04-30 | Wantboards, Inc. | Systems and Methods for Demand-Based Marketplaces |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5283731A (en) * | 1992-01-19 | 1994-02-01 | Ec Corporation | Computer-based classified ad system and method |
US5592375A (en) * | 1994-03-11 | 1997-01-07 | Eagleview, Inc. | Computer-assisted system for interactively brokering goods or services between buyers and sellers |
US5974406A (en) * | 1997-08-18 | 1999-10-26 | International Business Machines Corporation | Automated matching, scheduling, and notification system |
US6112181A (en) * | 1997-11-06 | 2000-08-29 | Intertrust Technologies Corporation | Systems and methods for matching, selecting, narrowcasting, and/or classifying based on rights management and/or other information |
US6119101A (en) * | 1996-01-17 | 2000-09-12 | Personal Agents, Inc. | Intelligent agents for electronic commerce |
US6253188B1 (en) * | 1996-09-20 | 2001-06-26 | Thomson Newspapers, Inc. | Automated interactive classified ad system for the internet |
US20020023042A1 (en) * | 2000-02-14 | 2002-02-21 | Amiad Solomon | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
US6397219B2 (en) * | 1997-02-21 | 2002-05-28 | Dudley John Mills | Network based classified information systems |
US20030106055A1 (en) * | 1999-12-16 | 2003-06-05 | Ilkka Kukkonen | On-line advertisement mechanism |
US6665659B1 (en) * | 2000-02-01 | 2003-12-16 | James D. Logan | Methods and apparatus for distributing and using metadata via the internet |
US7076443B1 (en) * | 2000-05-31 | 2006-07-11 | International Business Machines Corporation | System and technique for automatically associating related advertisements to individual search results items of a search result set |
US7225142B1 (en) * | 1996-08-01 | 2007-05-29 | At&T Corp. | Interactive multimedia advertising and electronic commerce on a hypertext network |
-
2001
- 2001-02-12 US US09/780,469 patent/US7302404B2/en active Active
-
2007
- 2007-11-14 US US11/984,140 patent/US20080281705A1/en not_active Abandoned
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5283731A (en) * | 1992-01-19 | 1994-02-01 | Ec Corporation | Computer-based classified ad system and method |
US5592375A (en) * | 1994-03-11 | 1997-01-07 | Eagleview, Inc. | Computer-assisted system for interactively brokering goods or services between buyers and sellers |
US6119101A (en) * | 1996-01-17 | 2000-09-12 | Personal Agents, Inc. | Intelligent agents for electronic commerce |
US7225142B1 (en) * | 1996-08-01 | 2007-05-29 | At&T Corp. | Interactive multimedia advertising and electronic commerce on a hypertext network |
US6253188B1 (en) * | 1996-09-20 | 2001-06-26 | Thomson Newspapers, Inc. | Automated interactive classified ad system for the internet |
US6397219B2 (en) * | 1997-02-21 | 2002-05-28 | Dudley John Mills | Network based classified information systems |
US5974406A (en) * | 1997-08-18 | 1999-10-26 | International Business Machines Corporation | Automated matching, scheduling, and notification system |
US6112181A (en) * | 1997-11-06 | 2000-08-29 | Intertrust Technologies Corporation | Systems and methods for matching, selecting, narrowcasting, and/or classifying based on rights management and/or other information |
US20030106055A1 (en) * | 1999-12-16 | 2003-06-05 | Ilkka Kukkonen | On-line advertisement mechanism |
US6665659B1 (en) * | 2000-02-01 | 2003-12-16 | James D. Logan | Methods and apparatus for distributing and using metadata via the internet |
US20020023042A1 (en) * | 2000-02-14 | 2002-02-21 | Amiad Solomon | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
US7302404B2 (en) * | 2000-02-14 | 2007-11-27 | Auctionkiller | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment |
US7076443B1 (en) * | 2000-05-31 | 2006-07-11 | International Business Machines Corporation | System and technique for automatically associating related advertisements to individual search results items of a search result set |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070112729A1 (en) * | 2005-11-04 | 2007-05-17 | Microsoft Corporation | Geo-tagged based listing service and mapping engine |
US7840558B2 (en) | 2005-11-04 | 2010-11-23 | Microsoft Corporation | Geo-tagged based listing service and mapping engine |
US20120078754A1 (en) * | 2005-11-04 | 2012-03-29 | Microsoft Corporation | Query Analysis for Geographic-Based Listing Service |
US8447661B2 (en) * | 2005-11-04 | 2013-05-21 | Microsoft Corporation | Query analysis for geographic-based listing service |
US20090171948A1 (en) * | 2007-12-31 | 2009-07-02 | Peer 39 Inc. | Method and a system for selecting advertising spots |
US20100088321A1 (en) * | 2007-12-31 | 2010-04-08 | Peer 39 Inc. | Method and a system for advertising |
US9117219B2 (en) | 2007-12-31 | 2015-08-25 | Peer 39 Inc. | Method and a system for selecting advertising spots |
US20100125523A1 (en) * | 2008-11-18 | 2010-05-20 | Peer 39 Inc. | Method and a system for certifying a document for advertisement appropriateness |
US20100125502A1 (en) * | 2008-11-18 | 2010-05-20 | Peer 39 Inc. | Method and system for identifying web documents for advertisements |
US10346879B2 (en) | 2008-11-18 | 2019-07-09 | Sizmek Technologies, Inc. | Method and system for identifying web documents for advertisements |
Also Published As
Publication number | Publication date |
---|---|
US7302404B2 (en) | 2007-11-27 |
US20020023042A1 (en) | 2002-02-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7302404B2 (en) | Method and apparatus for a network system designed to actively match buyers and sellers in a buyer-driven environment | |
US8326698B1 (en) | Local product information | |
US6868389B1 (en) | Internet-enabled lead generation | |
US20020002509A1 (en) | Custom advertising and trade facilitation system for internet or e-mail implementation | |
US8805727B2 (en) | Determining complementary product content from primary product document information and providing such complementary product content in association with the primary product document, in an online environment | |
US9563646B1 (en) | Method and system for mining image searches to associate images with concepts | |
US20040015416A1 (en) | Seller configurable merchandising in an electronic marketplace | |
US20140081773A1 (en) | Seller configurable merchandising in an electronic marketplace | |
US20050010494A1 (en) | Method and apparatus for Internet e-commerce shopping guide | |
US20050010484A1 (en) | Apparatus for and method of facilitating fulfillment of buyer's/seller's desire | |
US9213765B2 (en) | Landing page search results | |
US20060190352A1 (en) | Method for providing history data to sellers about internet auction and marketplaces | |
US20140236751A1 (en) | Methods and System For Electronic Commerce Facility Client-Based Presentation Offer Management | |
US10643237B2 (en) | Landing page selection for linked advertising | |
US20120179520A1 (en) | Systems and methods for performing an action based on user interaction with a graphical presentation | |
US20060229950A1 (en) | An efficient method of discovering and purchasing goods and services | |
KR20010026474A (en) | A method of operating online shopping mall using a computer system | |
JPWO2011080966A1 (en) | Server system, product recommendation method, product recommendation program, and recording medium recording computer program | |
US20160267575A1 (en) | System for Distributing Item Listing Notifications | |
WO2009079153A1 (en) | Interest-based product viewing, searching and advertising | |
WO2018061297A1 (en) | Information processing method, program, information processing system, and information processing device | |
US11681761B1 (en) | Method and system for mining image searches to associate images with concepts | |
US20050131724A1 (en) | Enhanced online auction method and apparatus | |
KR100361228B1 (en) | Internet electronic commerce method using local information analysis program | |
CN110136316A (en) | Based on the self-service retail method for selling color terminal, device, user terminal and server |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |