International Business Machines Corporation

Yahoo! Inc.

John Anthony Tomlin

James Lee Hafner

Andrew Stephen Tomkins

Kevin Snow McCurley

Shanmugasundaram Ravikumar

Pavel Berkhin

Nadav Eiron

Larry Lynn Williams

Jian Yang

Nimrod Megiddo

Deepak Agarwal

Jianchang Mao

Dandapani Sivakumar

Arvind Arasu

Jayavel Shanmugasundaram

Erik Nathan Vee

Sergei Vassilvitskii

Sathiya Keerthi Selvaraj

Ronald Fagin

Tasos Anastasakos

Jasmine Novak

John Joseph Forrest

William Robert Pulleyblank

David Paul Williamson

Alan Jerome Hoffman

Oliver Kennedy

Bharadwaj Vijay

Shanmugasundram Ravikumar

An improved system and method for generating a maximum utility slate of advertisements for online advertisement auctions is provided. Various utility factors for each advertisement that may be a candidate in a slate of advertisements may be applied within a framework in order to generate a maximum utility slate of advertisements. Either backward or forward dynamic programming may be applied to recursively evaluate the utility of subslates of advertisements in order to generate a maximum utility slate of advertisements. In an embodiment, a network with directed edges and associated costs may be defined, and the longest path may be found in the directed network for constructing a maximum utility slate of advertisements. Various utility factors may be applied for different objectives of an auctioneer and the framework presented may be extended for revenue ordering, exclusion of bidders, ordering slates according to first and second price utilities, and so forth.

System and method for generating a maximum utility slate of advertisements for online advertisement auctions

An improved system and method for web destination profiling for online population-targeted advertising is provided. A web destination profiler may be provided for generating web destination profiles. Traffic may be analyzed at a particular web destination in order to understand the population visiting the web destination. The analysis of user traffic, including differentiated clickstream data, may be applied for determining known characteristics of a web destination profile. Moreover, unknown characteristics of a web destination profile may be determined using a variety of techniques including inferring characteristics by modeling traffic flow through other web destinations, estimating characteristics from other web destination profiles by predicting traffic flow through other web destinations, propagating characteristics to a web destination profile by smoothing a joint distribution of characteristics of other web destination profiles, and so forth. Web destination profiles may be used by applications such as an online application for population-targeted advertising.

System and method for web destination profiling

System and method for population-targeted advertising

An advertisement impression distribution system includes a data processing system operable to generate an allocation plan for serving advertisement impressions. The allocation plan allocates a first portion of advertisement impressions to satisfy guaranteed demand and a second portion of advertisement impressions to satisfy nonguaranteed demand. The data processing system includes an optimizer configured to establish a relationship between the first portion of advertisement impressions and the second portion of advertisement impressions. The relationship defines a range of proportions of allocation of the first portion and the second portion. The optimizer generates a solution maximizing guaranteed demand fairness, non-guaranteed demand revenue, and click value. The solution identifies a determined proportion of the first portion of advertisement impressions to serve and a determined proportion of the second portion of advertisement impressions to serve. The data processing system outputs the allocation plan to control serving of the advertisement impressions.

System for display advertising optimization using click or conversion performance

An advertisement impression distribution system includes a data processing system operable to generate an allocation plan for serving advertisement impressions. The allocation plan allocates a first portion of advertisement impressions to satisfy guaranteed demand and a second portion of advertisement impressions to satisfy non-guaranteed demand. The data processing system includes an optimizer, the optimizer to establish a relationship between the first portion of advertisement impressions and the second portion of advertisement impressions. The relationship defines a range of possible proportions of allocation of the first portion of advertisement impressions and the second portion of advertisement impressions. The optimizer generates a solution in accordance with an uncertain supply of advertisement impressions, in which a projected supply of advertisement impressions is determined with a model from the uncertain supply of advertisement impressions. The data processing system outputs the allocation plan including the solution to control serving of the advertisement impressions in determined proportions.

System for display advertising optimization with uncertain supply

An improved system and method for pricing of overlapping impression pools of online advertisement impressions for advertising demand is provided. An inventory of online advertisement impressions may be grouped in impression pools according to attributes of the advertisement impressions and advertisers' requests for impressions targeting specific attributes may be received. An optimal price may be computed for each of the impression pools of the inventory of online advertisement impressions using dual values of an optimization program. The values of a dual variable for prices of impression pools on the supply constraints of an objective function for allocating the impression pools may be extracted and iteratively increased on those impression pools which have a dual value greater than the book rate value.

System and method for pricing of overlapping impression pools of online advertisement impressions for advertising demand

A system (and method) for a recovery of data from a lost sector in a storage system, which includes a set of readable and lost sectors in a plurality of disks in the storage system, includes identifying a lost sector of at least one disk of the storage system, determining whether the data from the lost sector is capable of being recovered, and, if the data from the lost sector is capable of being recovered, generating a recovery formula for the lost sector and recovering the data from the lost sector based on the recovery formula.

System and method for recovery of data for a lost sector in a storage system

A logical directory ranking system ranks documents or web pages utilizing logical directories. The present system groups together compound documents as a single information node with one or more leaves, constructing a logical directory graph. URLs can be grouped at a level of granularity below an individual directory. For example, the URLs may be grouped together on the basis of hostname, domain, or any level of the hierarchy of the URLs. Edges in the logical directory graph are formed by links between the logical directories. Edges have weights corresponding to the number of links between logical directories. Nodes have weights corresponding to the number of web pages or leaves represented by a node. A ranking level is determined for each node as a function of the node weight and the edge weight. The ranking level is then applied to each URL that the node represents.

System and method and computer program product for ranking logical directories

A modular scoring system using rank aggregation merges search results into an ordered list of results using many different features of documents. The ranking functions of the present system can easily be customized to the needs of a particular corpus or collection of users such as an intranet. Rank aggregation is independent of the underlying score distributions between the different factors, and can be applied to merge any set of ranking functions. Rank aggregation holds the advantage of combining the influence of many different heuristic factors in a robust way to produce high-quality results for queries. The modular scoring system combines factors such as indegree, page ranking, URL length, proximity to the root server of an intranet, etc, to form a single ordering on web pages that closely obeys the individual orderings, but also mediates between the collective wisdom of individual heuristics.

System, method and service for ranking search results using a modular scoring system

A dangling web page processing system ranks dangling web pages on the web. The system ranks dangling web pages of high quality that cannot be crawled by a crawler. In addition, the system adjusts ranks to penalize dangling web pages that return errors when links on the dangling web pages are crawled. By providing a rank for dangling web pages, the present system allows the concentration of crawling resources on those dangling web pages that have the highest rank in the uncrawled region. The system operates locally to the dangling web pages, providing efficient determination of ranks for the dangling web pages. The system explicitly discriminates against web pages on the basis of whether they point to penalty pages, i.e., pages that return an error when a link is followed. By incorporating more fine-grained information such as this into ranking, the system can improve the quality of individual search results and better manage resources for crawling.

System and method for ranking nodes in a network

A method of ranking a plurality of linked documents. The method comprises obtaining a plurality of documents, and determining a rank of each document. The rank of each document is generally a function of a rank of all other documents in the plurality of documents which point to the document and is determined by solving, by equation-solving methods (including Gauss-Seidel iteration and partitioning) of a set of equations wherein: where xis the rank of the page indexed by i, &#x3b1; is a number strictly between 0 and 1.0, the summation is over all indices j such that page j points to page i, and ais defined to be the reciprocal of the number of links pointing out from page j (denoted d) if page j points to page i, and zero otherwise.

System and method for rapid computation of PageRank

The present invention provides a system and method relating to the operation of plug-in hybrid electric vehicles powered both by electricity from rechargeable batteries and by consumable fuel powered means, such as an internal combustion engine or a fuel cell. More particularly, the system and method of the claimed invention enable optimization of the energy cost associated with the operation of such plug-in hybrid electric vehicles, especially when the cost of recharging batteries from external electric power sources may be less than the cost of recharging batteries from the onboard consumable fuel powered means. To this end, the invention enables maximization of the use of electricity from external electric power sources and minimization of the use of electricity produced by the plug-in hybrid electric vehicle's onboard consumable fuel powered means, when the cost of recharging batteries from external electric power sources is less than the cost of recharging batteries from the onboard consumable fuel powered means.

System and method for minimizing energy consumption in hybrid vehicles

A computer-based method and system comprising three data structures: partially ordered data structure (or simply ordered data structure), contiguous list v, and vector p, is used for solving a large sparse triangular system of linear equations which utilizes only the non-zero components of a matrix to solve large sparse triangular linear equations and generates explicitly only the non-zero entries of the solution. A list of the row indices of the known non-zero values of x which require further processing is stored in the ordered data structure. Actual non-zero values of x are stored in the contiguous list v and the corresponding pointers to the location of these values are stored in the vector p. The computer-based method manipulates these three matrices to find a solution to an upper or lower sparse triangular system of linear equations. In addition, in the instance a matrix becomes dense (or increases in density) by the presence of many active rows, a partitioning method is described via which the dense matrix problem is solved.

Method for solving a large sparse triangular system of linear equations

A method, system, and data structure are provided which facilitate matrix multiplication with advantageous computational efficiency. The invention, as variously implemented as a processing system, method, or data structure in a recording medium such as a memory, has applicability to numerous fields, including linear programming, where a great deal of multiplication of large, sparse matrices is performed. The method of the invention includes the steps of creating a first submatrix block from non-zero terms of a sparse matrix, such that all of the terms within a given column of the submatrix block are form a respective column of the sparse matrix, creating a corresponding second index submatrix block of the same dimensions as the first block, such that each term of the second block identifies the position of the corresponding term of the first block within the sparse matrix, in terms of a row and column index. Finally, the method includes reordering terms of the first and second blocks correspondingly, as necessary to produce a final configuration within the first and second blocks such that all of the row indices within any given row of the second block are distinct.

Processing system and method for performing sparse matrix multiplication

A configuration management subsystem of a subsystem array system assigns heat producing devices to clusters such that the number of devices activated will not create overheating, regardless of which limited set of clusters is activated. The subsystem receives the dimensions of the disk array, the number of devices, the number of cluster groups and the maximum number of clusters that can be operated substantially simultaneously, and the dimensions of a critical box that defines an arrangement of the devices into cells such that, if a device is assigned to each cell of the critical box and all devices are operated simultaneously, then thermal operating restrictions of the devices will be exceeded. The system first executes simple numbering loop operations to determine, if they exist, dimensions of a building block subarray that meet certain requirements relative to the input parameters. Using this building block subarray, the system then executes other simple numbering loop operations in which number labels are assigned to the disk devices (representing assignment of devices to disjoint clusters) such that if the maximum number of clusters are operating simultaneously, in every critical box subarray at least one device will not be operated.

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Sunnyvale, CA, United States of America

John Anthony Tomlin