Abstract: Embodiments of the disclosure extract annotations from web pages. The annotations are combined with search results and/or advertisements to allow the user to better understand the content of the search result or advertisement landing web page. A visual snapshot of the web page is taken. Visual processing extracts information from the visual representation. The HTML, for the web page is also analyzed and various pieces of information extracted. The information from the visual processing is combined with the information extracted from the HTML. The combined information is evaluated and information for the annotations are selected. The annotations are then combined with the search results and/or advertisements.

Abstract: Embodiments of the disclosure extract annotations from web pages. The annotations are combined with search results and/or advertisements to allow the user to better understand the content of the search result or advertisement landing web page. A visual snapshot of the web page is taken. Visual processing extracts information from the visual representation. The HTML, for the web page is also analyzed and various pieces of information extracted. The information from the visual processing is combined with the information extracted from the HTML. The combined information is evaluated and information for the annotations are selected. The annotations are then combined with the search results and/or advertisements.

Abstract: Embodiments of the disclosure extract annotations from web pages. The annotations are combined with search results and/or advertisements to allow the user to better understand the content of the search result or advertisement landing web page. A visual snapshot of the web page is taken. Visual processing extracts information from the visual representation. The HTML for the web page is also analyzed and various pieces of information extracted. The information from the visual processing is combined with the information extracted from the HTML. The combined information is evaluated and information for the annotations are selected. The annotations are then combined with the search results and/or advertisements.

Abstract: Embodiments of the disclosure extract annotations from web pages. The annotations are combined with search results and/or advertisements to allow the user to better understand the content of the search result or advertisement landing web page. A visual snapshot of the web page is taken. Visual processing extracts information from the visual representation. The HTML for the web page is also analyzed and various pieces of information extracted. The information from the visual processing is combined with the information extracted from the HTML. The combined information is evaluated and information for the annotations are selected. The annotations are then combined with the search results and/or advertisements.

Abstract: Methods, systems, and computer-readable storage media for predicting advertiser keyword performance indicator values based on proximity of advertisers to one another are provided. A keyword is received from a first advertiser that has not previously bid on the keyword. Another advertiser that is similar to the first advertiser and has previously bid on the keyword is identified, and a predicted performance indicator value for the keyword is calculated for the first advertiser based upon an established performance indicator value of the keyword for the other advertiser. In this way, performance predictions for an advertiser desiring to bid on a keyword that is new to that advertiser may be calculated more accurately than traditional methods that do not take into account advertiser similarity.

Abstract: Technologies pertaining to advertisement impression forecasting are described herein. An advertiser sets forth a proposed bid value for a prospective advertisement listing with respect to a keyword for a defined range of time. A number of auctions for the keyword in which the prospective advertisement listing will participate is estimated. A generative model that models auctions for the keyword is sampled to simulate auctions for the keyword, wherein the number of simulated auctions is equivalent to the number of auctions for the keyword in which the prospective advertisement listing is estimated to participate. For each simulated auction, a determination is made regarding whether the prospective advertisement listing wins the auction based upon the proposed bid value set forth by the advertiser. A number of simulated auctions won by the prospective advertiser is output as a forecasted number of impressions for the advertisement over the defined range of time.

Abstract: Methods, systems, and computer-readable storage media for predicting advertiser keyword performance indicator values based on proximity of advertisers to one another are provided. A keyword is received from a first advertiser that has not previously bid on the keyword. Another advertiser that is similar to the first advertiser and has previously bid on the keyword is identified, and a predicted performance indicator value for the keyword is calculated for the first advertiser based upon an established performance indicator value of the keyword for the other advertiser. In this way, performance predictions for an advertiser desiring to bid on a keyword that is new to that advertiser may be calculated more accurately than traditional methods that do not take into account advertiser similarity.