Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with one or more data objects in an online social network. A user interface includes a publisher with a custom action. The custom action is defined in accordance with custom action instructions provided by a first entity via an application programming interface (API). Such custom action instructions may declaratively or programmatically define the data object, the interaction to be performed with the data object, and other attributes associated with the custom action. A user may request to interact with the data object via selection of the custom action by a second entity. Information may be submitted through the publisher to interact with the data object to update a database system associated with the data object. A feed item may be presented for inclusion in the information feed based on the update.

Abstract: A tiered approach to selecting landing pages to be associated with specific keywords allows optimal landing pages to be determined dynamically and updated continually. Suggestions for landing pages can come from a number of sources based upon any of a number of factors. A scalable set of algorithms can be used to analyze these suggestions based upon factors including those used for determining the suggestions. Each algorithm can generate a decision as to an optimal landing page to be associated with each keyword. A subsequent algorithm can analyze each decision as these decisions relate to at least one goal, and can select an optimal landing page based thereon. A sponsored link or other element can be associated with the keyword such that a user submitting a request containing the keyword can be presented with the sponsored link to the optimal landing page.

Abstract: A tiered approach to selecting landing pages to be associated with specific keywords allows optimal landing pages to be determined dynamically and updated continually. Suggestions for landing pages can come from a number of sources based upon any of a number of factors. A scalable set of algorithms can be used to analyze these suggestions based upon factors including those used for determining the suggestions. Each algorithm can generate a decision as to an optimal landing page to be associated with each keyword. A subsequent algorithm can analyze each decision as these decisions relate to at least one goal, and can select an optimal landing page based thereon. A sponsored link or other element can be associated with the keyword such that a user submitting a request containing the keyword can be presented with the sponsored link to the optimal landing page.

Abstract: A tiered approach to selecting landing pages to be associated with specific keywords allows optimal landing pages to be determined dynamically and updated continually. Suggestions for landing pages can come from a number of sources based upon any of a number of factors. A scalable set of algorithms can be used to analyze these suggestions based upon factors including those used for determining the suggestions. Each algorithm can generate a decision as to an optimal landing page to be associated with each keyword. A subsequent algorithm can analyze each decision as these decisions relate to at least one goal, and can select an optimal landing page based thereon. A sponsored link or other element can be associated with the keyword such that a user submitting a request containing the keyword can be presented with the sponsored link to the optimal landing page.

Abstract: The accuracy of bid amounts for electronic advertising is improved by accounting for factors such as the cost-per-click (CPC) ratio for each ad. When a provider such as a search engine selects advertisements using automated auctions, it can be desirable for an advertiser to avoid underbidding for ads when the ads generate a significant amount of revenue or profit, or are otherwise performing well. Various algorithms can be used to generate a bid adjustment factor that allows bid values to be increased (or decreased) as appropriate, based on information such as CPC information. By calculating a separate adjustment factor, the amount of adjustment can be monitored and/or capped to avoid overspending. The algorithms also can utilize information at various levels of categorization, and at different time intervals, depending on the amount and type of information available, in order to provide an accurate and significant result.

Abstract: The accuracy of bid amounts for electronic advertising is improved by accounting for factors such as the cost-per-click (CPC) ratio for each ad. When a provider such as a search engine selects advertisements using automated auctions, it can be desirable for an advertiser to avoid underbidding for ads when the ads generate a significant amount of revenue or profit, or are otherwise performing well. Various algorithms can be used to generate a bid adjustment factor that allows bid values to be increased (or decreased) as appropriate, based on information such as CPC information. By calculating a separate adjustment factor, the amount of adjustment can be monitored and/or capped to avoid overspending. The algorithms also can utilize information at various levels of categorization, and at different time intervals, depending on the amount and type of information available, in order to provide an accurate and significant result.

Abstract: Bid amounts for electronic advertising can be adjusted throughout the day, or for different days, according to a day parting schedule based on factors such as variations in efficiency. For any set of advertisements grouped based on factors such as keyword, landing page, geographic location, user demographic, etc., values can be forecast for each time period throughout the day. A variation threshold is used to group adjacent periods of time into partitions, and the threshold can be varied until the number of partitions meets the requirements of the provider with whom the advertisement is to be placed. An adjustment factor can be determined for each partition using the forecast information, and these factors can be uploaded to the provider to adjust the base bid price for any advertisement in that group at the appropriate times throughout the day.