Supermedia LLC

Verizon Data Services Inc.

Jpmorgan Chase Bank, N.a.

Idearc Media Corp.

Sivakumar Chinnasamy

Tsu-Jung Kung

Douglas G Heatherly

Eric Daniel Chandler

Alexander Shulman

Alfred L Chow

James D Price

Mitchell Willingham

Jian Huang

Qi Gu

Yankang Jiang

Ahmad Mortazavi

Chandrasekar Krishnan

Venkatesh Raju

Yu Lo Cyrus Chang

Jeesmon Jacob

Nelson Petershiem

Than Kim-Thi Nguyen

Xiao Han

Janarthanan Navaneethan

Yanlin Liu

Sean M Freeman

Huimin Guo

Kendra Lee Vander Kamp

Mark C Randall

Jason Ward

Andria Lewis

Bradley T Sims

An advertiser budget is retrieved from a data store. A set of traffic sources associated with the advertiser budget are identified. An allocated budget for the set of traffic sources is generated by allocating at least part of the advertiser budget to the set of traffic sources. At least one advertisement is delivered via a traffic source of the set of traffic sources based at least in part on the allocated budget.

Pricing for online listings

At least one listing is retrieved based on a search query, the query including at least one parameter associated with an element of a hierarchical index A determination of a normalized click-through rate for each of the at least one listings is made, the normalized click-through rate for a listing being based on a click-through rate for the listing that is adjusted according to one or more positions in which the listing has been displayed in each of a plurality of sets of search results. A determination is made of a position for the at least one listing in a set of search results based at least in part on an aggregation of the aggregate normalized click-through rates associated with at least one level of a hierarchical index.

Organizing search results

A search query is received. One or more listings is identified responsive to the search query. For each of the one or more of listings, the following are determined: a relevancy score based on one or more parameters in the search query, an expected click through rate, and at least one of a content density boost that is based on one or more fields that are included in or excluded from the listing and a geography type boost that is based on a comparison of one or more geography parameters of the query to one or more geography parameters of the listing. For each of the one or more listings, a performance score is calculated based on the relevancy score, the expected click through rate, and at least one of the content density boost and the geography type boost.

Ranking online listings

A system and method for creating and classifying listings within user-defined marketplaces. An information database in communication with an information application comprises a plurality of marketplaces and a plurality of listings respectively classified within the plurality of marketplaces. The marketplaces stored in the information database may be either pre-defined or user-defined. User-defined marketplaces are created based at least in part on information supplied by an access device in communication with the information database.

User-defined classifieds

User actions responsive to a plurality of web pages are tracked and included in records in a data store. A conversion score is calculated for each traffic source of a plurality of traffic sources, the conversion score based at least in part on the tracked user actions. A traffic source quality score is calculated for each of the plurality of traffic sources, and the plurality of traffic sources are ranked based at least in part on the traffic source quality scores. The traffic sources are allocated to sets based at least in part on the ranking.

Distribution for online listings

Growing community of inventors

Billerica, MA, United States of America

Sivakumar Chinnasamy