摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
A system and method of generating bid values for sponsored search includes steps or acts of: receiving a bid phrase for an advertisement for an item, wherein the bid phrase specifies a search query for which the advertisement should be displayed; receiving first information at a first input/output interface, the first information related to a bidding behavior of the advertiser; receiving second information at a second input/output interface, the second information relating to a history of bids by other advertisers for the bid phrase; and generating a bid value for the bid phrase submitted for the advertisement for the search query, based on the information received.
摘要:
A system and a system are provided for using external sources (e.g., landing pages) for sponsored search ad selection. In one example, the system identifies one or more regions of an external source. The one or more regions are relevant to a query. The external source includes a source that includes relevant data that is usable for augmenting an ad selection process. The system extracts one or more features from the one or more regions. The system determines which of the one or more features are relevant for item indexing. The system then augments an item selection process by using the one or more features that are relevant for item indexing.
摘要:
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.