Abstract: Positioning an element in a computer-based document by determining, for each of a plurality of positions of a target element displayed in a plurality of computer-based documents, a first performance value associated with the target element, and a second performance value associated with a non-target element displayed in the plurality of computer-based documents, selecting one of the positions that meets predefined selection criteria as applied to the performance values, determining, for a position factor associated with the target element, a position factor value associated with the selected position, and assigning the position factor value to the position factor.

Abstract: A method for budget distribution in online advertising, the method comprising using at least one hardware processor for: receiving a definition of a single advertiser budget to be spent on advertising multiple ad entities in an online advertising platform; receiving historical performance data associated with the multiple ad entities, wherein the historical performance data comprises multiple proportional performance metrics for each of the multiple ad entities; computing a health index for each of the multiple ad entities, the health index being a weighted average of multiple components comprising the multiple proportional performance metrics, wherein the multiple components are each monotonic with respect to spend; and proportionally distributing the single advertiser budget between the multiple ad entities, based on the health indices of the multiple ad entities.

Abstract: Machines, systems and methods for managing reach of an advertisement campaign, the method comprising selecting an initial seed of one or more keywords, such that the initial seed is pertinent to a target audience with known interests and demographics; receiving at least one candidate keyword to be added to the initial seed; determining effectiveness of the candidate keyword based on relevancy, expansion and redundancy parameters associated with the candidate keyword; and expanding the initial seed by adding the candidate keyword, in response to determining that the candidate keyword meets a threshold measure for effectiveness.

Abstract: There are provided a computing system capable of allocating an advertisement budget of an advertisement campaign between a plurality of advertisement entities and a method of operating thereof. The method comprises: obtaining, for each of the plurality of advertisement entities, a respective optimal target frontier function representing for each given advertising cost an optimal value of return and configured to follow the law of diminishing return; receiving a budget constraint for the advertisement budget; generating a global target frontier function by summing each of the received optimal target frontier functions; processing the generated global target frontier function to determine for each of the plurality of advertisement entities an optimal, with respect of at least the received budget constrain, advertising cost value such that a sum of the optimal advertising cost values meets the budget constraint; and reporting the determined values.

Abstract: Positioning an element in a computer-based document by determining, for each of a plurality of positions of a target element displayed in a plurality of computer-based documents, a first performance value associated with the target element, and a second performance value associated with a non-target element displayed in the plurality of computer-based documents, selecting one of the positions that meets predefined selection criteria as applied to the performance values, determining, for a position factor associated with the target element, a position factor value associated with the selected position, and assigning the position factor value to the position factor.

Abstract: A method for allocation of an advertisement budget of an advertisement campaign between a plurality of advertisement entities. The method comprises receiving for each of the plurality of advertisement entities a corresponding optimal value of its target frontier function respective of an advertising cost; receiving at least a budget constraint for the advertisement budget; creating a global target frontier function that is a sum of each of the target frontier functions of each of the plurality of advertisement entities, each of the target frontier function is multiplied by a binary inclusion variable; and optimizing the global target frontier function to determine a marginal equilibrium to determine at least the advertising cost value for each of the advertisement entities, the sum of the advertising cost values determined for each of the plurality of advertisement entities meets the budget constraint.

Abstract: Computer implemented system for determining a distribution policy for a single period inventory system on the basis of the relative merit of allocating a draw unit of one of a multitude of different consumer items to one of a multitude of different locations in accordance with an allocation decision criterion subject to one or more constraints, an optimization application therefor, and method therefor, and including a Decision Support Tool for facilitating user determination of a distribution policy for a single period inventory system.

Abstract: Computer implemented method and system for improving demand forecasting by estimating the hidden demand at an occurrence of a sellout using a single parameter probability distribution with a parameter assuming a forecasted mean demand value derived from a statistical seasonal causal time series forecasting model of count data on a new data set of sales values excluding truncated sales values at occurrences of sellouts. The present invention also provides for new more accurate performance evaluation techniques together with new performance metrics for evaluating an actual draw and for comparing a recommended draw to an actual draw.

Abstract: A method for associating sparse keywords with non-sparse keywords. The method comprises determining from metrics of a plurality of keywords a list of sparse keywords and non-sparse keywords; generating a similarity score for each sparse keyword with respect of each non-sparse keyword; associating a sparse keyword with a non-sparse keyword; and storing the association between the non-sparse keyword and the sparse keyword in a database.

Abstract: A computerized system which implements a method for obtaining an improved set of relevant keywords from an initial set of relevant keywords and their associated relative ratings, utilizing the proven expertise and reliability of existing keyword expansion tools and the accumulated experience of search engines. The method comprises iterating over keyword seeds, search engines' results and keyword suggestion sources' results, merging lists of keywords and combining their scores by means of an optimization method and learned effectiveness of result sources. Keyword relevance scores may be effectively used to distribute a content provider's resources amongst keywords thereby to achieve inclusion and optimization in search engines' results. The system input is a set of one or more seed keywords and the system produces an expanded list of unique keywords, each keyword typically accompanied by a computed relevance score.

Abstract: Computer implemented system for determining a distribution policy for a single period inventory system on the basis of the relative merit of allocating a draw unit of one of a multitude of different consumer items to one of a multitude of different locations in accordance with an allocation decision criterion subject to one or more constraints, an optimization application therefor, and method therefor, and including a Decision Support Tool for facilitating user determination of a distribution policy for a single period inventory system.

Abstract: Computer implemented system for determining a distribution policy for a single period inventory system on the basis of the relative merit of allocating a draw unit of one of a multitude of different consumer items to one of a multitude of different locations in accordance with an allocation decision criterion subject to one or more constraints, an optimization application therefor, and method therefor, and including a Decision Support Tool for facilitating user determination of a distribution policy for a single period inventory system.

Abstract: Computer implemented method and system for improving demand forecasting by estimating the hidden demand at an occurrence of a sellout using a single parameter probability distribution with a parameter assuming a forecasted mean demand value derived from a statistical seasonal causal time series forecasting model of count data on a new data set of sales values excluding truncated sales values at occurrences of sellouts. The present invention also provides for new more accurate performance evaluation techniques together with new performance metrics for evaluating an actual draw and for comparing a recommended draw to an actual draw.

Abstract: A computerized system which implements a method for obtaining an improved set of relevant keywords from an initial set of relevant keywords and their associated relative ratings, utilizing the proven expertise and reliability of existing keyword expansion tools and the accumulated experience of search engines. The method comprises iterating over keyword seeds, search engines' results and keyword suggestion sources' results, merging lists of keywords and combining their scores by means of an optimization method and learned effectiveness of result sources. Keyword relevance scores may be effectively used to distribute a content provider's resources amongst keywords thereby to achieve inclusion and optimization in search engines' results. The system input is a set of one or more seed keywords and the system produces an expanded list of unique keywords, each keyword typically accompanied by a computed relevance score.

Abstract: Computer implemented method and system for improving demand forecasting by estimating the hidden demand at an occurrence of a sellout using a single parameter probability distribution with a parameter assuming a forecasted mean demand value derived from a statistical seasonal causal time series forecasting model of count data on a new data set of sales values excluding truncated sales values at occurrences of sellouts. The present invention also provides for new more accurate performance evaluation techniques together with new performance metrics for evaluating an actual draw and for comparing a recommended draw to an actual draw.

Abstract: Computer implemented system for determining a distribution policy for a single period inventory system on the basis of the relative merit of allocating a draw unit of one of a multitude of different consumer items to one of a multitude of different locations in accordance with an allocation decision criterion subject to one or more constraints, an optimization application therefor, and method therefor, and including a Decision Support Tool for facilitating user determination of a distribution policy for a single period inventory system.

Abstract: A computer implemented system and method for determining the most profitable distribution policy for a single period inventory system subject to a stochastic metric constraint that utilizes an optimization application, and including a Decision Support Tool for facilitating user determination of a distribution policy for a single period inventory system.

Abstract: Computer implemented system for estimating the demand dependent unit stockout cost bij=b(?ij) of an ith consumer item at a jth location of a single period inventory system as a function of its unit retail price pij, its unit production cost cij, its unit return cost gij and its mean demand ?ij, stockout cost application therefor, and method therefor.

Abstract: Computer implemented system for estimating the demand dependent unit stockout cost bij=b(&lgr;ij) of an ith consumer item at a jth location of a single period inventory system as a function of its unit retail price pij, its unit production cost cij, its unit return cost gij and its mean demand &lgr;ij, stockout cost application therefor, and method therefor.

Abstract: Computer implemented system for determining the most profitable distribution policy for a single period inventory system subject to a stochastic metric constraint, optimization application therefor, and method therefor, and including a Decision Support Tool for facilitating user determination of a distribution policy for a single period inventory system.