| Patent application number | Description | Published |
|---|
| 20090024718 | Just-In-Time Contextual Advertising Techniques - A system and method to facilitate real-time matching of content to advertising information in a network are described. A request for advertising information is received over a network, the advertising information to be displayed for a user entity in association with content information within a web page requested by the user entity, the request containing the content information, a web page identifier, and additional data associated with the web page. The content information is further analyzed in real-time to construct a page summary of the web page. The web page identifier and the additional data are further analyzed in real-time to extract at least one keyword relevant to the content information. Finally, the advertising information is determined in real-time based on the page summary and the extracted keywords. | 01-22-2009 |
| 20090164400 | Social Behavior Analysis and Inferring Social Networks for a Recommendation System - Systems and methods are provided for determining items or people of potential interest to recommend to users in a computer-based network. Implied social networks may be determined based at least in part on obtained social behavior information. Items or people of potential interest to users may be determined based at least in part on implied social network information. Vocabulary taxonomies may be associated with, or used in determining, implied social networks. | 06-25-2009 |
| 20090248627 | SYSTEM AND METHOD FOR QUERY SUBSTITUTION FOR SPONSORED SEARCH - A system and method are disclosed for rewriting queries. The queries may be rewritten into a bid phrase for identifying search results and/or advertisements. The bid phrase may be a keyword that is purchased for sponsored searching. A mapping between potential queries and bid phrases may be generated. The mapping may be referenced upon receiving a search query for identifying a query rewrite with a bid phrase for that search query. The mapping may be generated in preprocessing. | 10-01-2009 |
| 20090254512 | AD MATCHING BY AUGMENTING A SEARCH QUERY WITH KNOWLEDGE OBTAINED THROUGH SEARCH ENGINE RESULTS - A method is provided to match an advertisement to a search query comprising: receiving search results produced by a search engine in response to a search query; producing an ad query that includes, unigram features, classification features with respect to an external classification system, and phrase features; producing a plurality of representations of corresponding advertisements in terms of the same types of features; and selecting one or more advertisements based upon a measure of similarity of ad query features to advertisements represented in terms of the same features. | 10-08-2009 |
| 20090282014 | Systems and Methods for Predicting a Degree of Relevance Between Digital Ads and a Search Query - Systems and methods for predicting a degree of relevance between a set of candidate digital ads and a search query are disclosed. Generally, an ad provider receives a digital ad request associated with a search query. The ad provider identifies a set of candidate digital ads that may be served in response to the digital ad request. A relevance module extracts a set of features from the set of candidate digital ads and the search query associated with the digital ad request, and determines a degree of relevance between the set of candidate digital ads and the search query based on a prediction model and the extracted set of features. If the relevance module determines the set of candidate digital ads is relevant to the search query, the ad provider may serve one or more digital ads from the set of candidate digital ads in response to the received digital ad request. | 11-12-2009 |
| 20090282015 | Systems and Methods for Predicting a Degree of Relevance Between Digital Ads and Webpage Content - Systems and methods for predicting a degree of relevance between a set of candidate digital ads and webpage content are disclosed. Generally, an ad provider receives a digital ad request associated with webpage content. The ad provider identifies a set of candidate digital ads that may be served in response to the digital ad request. A relevance module extracts a set of features from the set of candidate digital ads and the webpage content, and determines a degree of relevance between the set of candidate digital ads and the webpage content based on a prediction model and the extracted set of features. If the relevance module determines the set of candidate digital ads is relevant to the webpage content, the ad provider may serve one or more digital ads from the set of candidate digital ads in response to the received digital ad request. | 11-12-2009 |
| 20090282016 | Systems and Methods for Building a Prediction Model to Predict a Degree of Relevance Between Digital Ads and a Search Query or Webpage Content - Systems and methods for building a prediction model to predict a degree of relevance between digital ads and a search query or webpage content are disclosed. Generally, an indication of relevance is received between a plurality of digital ads and one of a webpage content or a search query. A set of features is extracted from the plurality of digital ads and one of the webpage content or the search query. A prediction model is then built to predict a degree of relevance between the set of candidate digital ads and one of a second webpage content or a second search query, where the prediction model is built based at least one the received indication of relevance and the extracted set of features. | 11-12-2009 |
| 20100010895 | PREDICTION OF A DEGREE OF RELEVANCE BETWEEN QUERY REWRITES AND A SEARCH QUERY - A predictor for determining a degree of relevance between a query rewrite and a search query is provided. The predictor may receive a search query from a user via a terminal and identify a set of candidate query rewrites associated with the search query. The predictor may then extract a set of features from advertisements associated with the query rewrites and the search query and determine a degree of relevance between the advertisements and the search query based on a prediction model. The predictor may then determine the degree of relevance between the rewrites and the search query based on the determined degree of relevance between the advertisements and the search query. | 01-14-2010 |
| 20100010959 | SYSTEMS AND METHODS FOR QUERY EXPANSION IN SPONSORED SEARCH - The present invention is directed towards systems, methods and computer program products for providing query-based advertising content. According to one embodiment, a method for providing query-based advertising content comprises receiving a web query and generating an ad query associated with the web query, wherein the ad query is generated on the basis of one of a query to advertisement relationship, a query to feature vector relationship, or a rewritten query vector. An advertisement is selected on the basis of the generated ad query. | 01-14-2010 |
| 20100010982 | WEB CONTENT CHARACTERIZATION BASED ON SEMANTIC FOLKSONOMIES ASSOCIATED WITH USER GENERATED CONTENT - The present invention is directed towards a method and system for characterizing web content based on capturing semantics of folksonomies relating to content entities of user generated content. The method and system includes determining a plurality of tags that describe a plurality of content entities and determining a co-occurrence of the tags. The method and system further includes generating weighted vectors based on the determined co-occurrence of tags and characterizing the content entity based on the weight vectors. Thereby, the characterization of the content entity may be used for any number of suitable purposes, including, by way of example, improving search results and associated advertising relevancy. | 01-14-2010 |
| 20100106704 | CROSS-LINGUAL QUERY CLASSIFICATION - The subject matter disclosed herein relates to cross-lingual query classification. | 04-29-2010 |
| 20100161605 | CONTEXT TRANSFER IN SEARCH ADVERTISING - A computer-implemented method is disclosed for determining a type of landing page to which to transfer web searchers that enter a particular query, the method comprising: classifying a landing page as one of a plurality of landing page classes with a trained classifier of a computer based on textual content of the landing page; determining, by the computer, characteristics of one or more query to be associated with the landing page; and choosing, with the computer, whether to retain or to change classification of the landing page to be associated with the one or more query based on relative average conversion rates of advertisements on a plurality of manually-classified landing pages when associated with the characteristics of the one or more query. | 06-24-2010 |
| 20100198857 | RARE QUERY EXPANSION BY WEB FEATURE MATCHING - A method is disclosed for expansion of rare queries to improve advertisement results, including receiving a query from a user by a search engine; determining that the query does not match an entry in an ad query lookup table coupled with the search engine; retrieving one or more expanded queries located within a query feature index whose features relate to one or more features of the received query, wherein the query feature index includes a plurality of queries expanded based on at least corresponding search results; generating, in real time and by the search engine, an ad query including an expanded version of the received query based on features of the retrieved expanded queries; and selecting one or more advertisements based on the generated ad query, wherein the one or more advertisements are displayed to the user in response to the query received from the user. | 08-05-2010 |
| 20100217648 | METHOD AND SYSTEM FOR QUANTIFYING USER INTERACTIONS WITH WEB ADVERTISEMENTS - Methods and systems are provided that may be used to determine a probability of whether a visitor to a web document is likely to click on a web advertisement. An exemplary method may include detecting one or more features in a web document. One or more expert statistical models to which the web document belongs may be determined and associated weightings may be determined based, at least in part, on the one or more features detected. A click-through-rate probability for a web advertisement to be placed on the web document may be estimated based on the one or more expert statistical models. | 08-26-2010 |
| 20100293184 | IDENTIFICATION OF RELATED BID PHRASES AND CATEGORIES USING CO-BIDDING INFORMATION - The present invention provides a method and system for determining related bid terms. The method and system includes accessing a term database to determine a plurality of term pairs, the term pairs being paired terms bidded together in a term bidding operating environment. In the method and system, for each of the plurality of term pairs, the method and system includes determining similarity values for each of the term pairs. The method and system further includes generating a similarity matrix using the determined similarity values. And, the method and system includes generating an output result based on a co-bidded relationship between at least one of the terms and advertising information. | 11-18-2010 |
| 20110093331 | Term Weighting for Contextual Advertising - A contextual advertising system selects online advertisements for display on a network location. The system may transform page content of a page received in a platform over a network into a textual representation. In addition, the system may transform received site content of a site into a site signature. The site includes the page. The system then may correct the textual representation utilizing the site signature to produce modified textual representation. The system may utilize the modified textual representation to select an online advertisement. Considering a page in the context of the entire website to which it belongs leads to better understanding and interpretation of the page topic(s) and thus yields more accurate ad matching. | 04-21-2011 |
