Yahoo! Inc.

Huawei Technologies Co., Limited

Google Inc.

Jagdish Chand

Todd Beaupre

Suresh Antony

Sridhar Rajagopalan

Joy Aloysius Thomas

Anant Deep Jhingran

Ravi Narasimhan Raj

Roger Urrabazo

Rakesh Jain

Larry Weyer

Jagannatha Narayanareddy

Avanti Nadgir

Shouvick Mukherjee

Bryan Call

Guotao Lu

Andy Scott

Ken Mallon

Jayesh Vrajlal Bhayani

Kay Pham

Krishna Kumar Kesavan

Joshua Klahr

Rajesh Bhargava

A method and computer readable medium for exploring similar users and items of a media service includes generating a user interface. The user interface displays a user selectable indicia representing a similar member function for allowing a user to search a media service for at least one other user. The one other user has a degree of similarity with respect to the searching user. Another method includes facilitating the search of such a similar user within a media service.

Method and system for exploring similarities

A method and computer readable medium for exploring similar users and items of a media service. In one aspect, a user can explore for similar users iteratively. In one aspect, a user interface is generated that displays a user selectable indicia representing a similar member function for allowing a user to search a media service for at least one other user which has a degree of similarity with respect to the searching user. In another aspect, a method facilitates the search of such a similar user within a media service.

Automatically extracting profile feature attribute data from event data is disclosed, including: receiving a set of event data; receiving a feature associated with a profiling technique; determining that a plurality of events associated with a user in the set of event data corresponds to a first attribute corresponding to the feature, wherein the first attribute corresponds to a first bin having a first defined value; determining that the plurality of events associated with the user in the set of event data corresponds to a second attribute corresponding to the feature, wherein the second attribute corresponds to a second bin having a second defined value; and creating a user record corresponding to the user indicating presence in the first bin and the second bin.

Automatically extracting profile feature attribute data from event data

A computer implemented method of generating keyword recommendations is provided, which includes providing keyword frequency data in computer readable media that indicate frequency counts of keywords used in past internet searches; providing keyword affinity data in computer readable media that indicate affinities between pairs of keywords used in past user internet searches; identifying keywords from the keyword frequency data that include the selected keyword; identifying keywords from the keyword affinity data that have an affinity to the selected keyword; and prioritizing the identified keywords based upon the keyword frequency.

Keyword recommendation for internet search engines

A solution is provided that efficiently tracks user paths within a large network. Raw node visit data may be received that indicates which users visited which nodes in the network at which time. This data may then be organized into sessions. Unique pathviews may be calculated for each session of the nodes visit data as well as the frequency of occurrence of each unique path view. This information may then be used to understand how users are progressing through a network.

Path discovery and analytics for network data

A solution is provided for determining traffic patterns involving a web page or property of interest in a computer network. This includes receiving path data regarding the web page or property of interest. Then, the number of visits to each of the other pages or properties visited by users in a session that included a visit to the web page or property of interest is counted. Then, from the path data and the counts, an aggregated data structure is constructed including, for each of the other web pages or properties visited by users in a session that included a visit to the web page or property of interest, visit count information and information regarding which web page or property within the network users visited next, if any. Then one or more metrics directed to traffic surrounding the web page or property of interest is provided using information from the aggregated data structure.

Traffic production index and related metrics for analysis of a network of related web sites

In an embodiment of the present invention, a record is read a single time, and it is evaluated against all conditions to identify the ones that it satisfies. By organizing the conditions into appropriate data structures, the process may be further optimized by ensuring that the record is not scanned multiple times.

Extraction of logical events from network data

A computer implemented method of searching personals ads comprising: performing a criteria search to identify one or more personals ads; and performing an affinity search to identify personals ads having an affinity to at least one of the personals ads identified by the criteria search.

Personals advertisement affinities in a networked computer system

A system and method for providing customized reports regarding pre-sale auto interest is enclosed herein. The reports are configured to provide pre-sale marketing research information about potential shoppers of particular auto models. The reports are also configured to provide information about competitors' auto models. The reports are also configured to provide demographic and interest information of the potential shoppers of the particular auto models.

System and method for providing automobile marketing research information

A computer based method of organizing text items comprising: receiving a multiplicity of individual groups of text items; assigning respective unique integer item codes to respective individual text items from the multiplicity of individual groups; identifying pairs of text items from individual groups of the multiplicity of groups; ordering pairs of text items based upon the unique item codes assigned to individual text items of respective pairs of text items such that each respective pair has a respective unique order position relative to other pairs; providing in computer readable media a pair order information structure that stores respective associations between respective identified pairs and their respective unique order positions.

Growing community of inventors

Santa Clara, CA, United States of America

Jagdish Chand