摘要:
Assigning session identifications to log entries and generating anonymous log entries are provided. In order to balance users' privacy concerns with the need for analysis of the log entries to provide high quality search results, non-user-specific data fields, such as a user's location (e.g., city, state, and latitude/longitude) and connection speed, are inserted into the log entries, and user-specific data fields, such as the IP address and cookie identifications, are deleted from the log entries. In addition or alternatively, prior to anonymization of the log entries, session identifications are assigned to identified groups of log entries. The groups are identified based on factors such as the user's identification, the IP address, the time of search, and differences between the search terms used in the search queries.
摘要:
Assigning session identifications to log entries and generating anonymous log entries are provided. In order to balance users' privacy concerns with the need for analysis of the log entries to provide high quality search results, non-user-specific data fields, such as a user's location (e.g., city, state, and latitude/longitude) and connection speed, are inserted into the log entries, and user-specific data fields, such as the IP address and cookie identifications, are deleted from the log entries. In addition or alternatively, prior to anonymization of the log entries, session identifications are assigned to identified groups of log entries. The groups are identified based on factors such as the user's identification, the IP address, the time of search, and differences between the search terms used in the search queries.
摘要:
Assigning session identifications to log entries and generating anonymous log entries are provided. In order to balance users' privacy concerns with the need for analysis of the log entries to provide high quality search results, non-user-specific data fields, such as a user's location (e.g., city, state, and latitude/longitude) and connection speed, are inserted into the log entries, and user-specific data fields, such as the IP address and cookie identifications, are deleted from the log entries. In addition or alternatively, prior to anonymization of the log entries, session identifications are assigned to identified groups of log entries. The groups are identified based on factors such as the user's identification, the IP address, the time of search, and differences between the search terms used in the search queries.
摘要:
The ranking quality of a ranked list may be evaluated. In an example embodiment, a method is implemented by a system to access log data, ascertain which entries of a ranked list are skipped, and determine a ranking quality metric from the skipped entries. More specifically, log data that reflects user interactions with a ranked list having multiple entries is accessed. The user interactions include at least indications of which of the multiple entries are selected entries. It is ascertained which entries of the multiple entries of the ranked list are skipped entries based on the selected entries. The ranking quality metric for the ranked list is determined responsive to the skipped entries.
摘要:
A framework may be used for identifying low-rate search bot traffic within query logs by capturing groups of distributed, coordinated search bots. Search log data may be input to a history-based anomaly detection engine to determine if query-click pairs associated with a query are suspicious in view of historical query-click pairs for the query. Users associated with suspicious query-click pairs may be input to a matrix-based bot detection engine to determine correlations between queries submitted by the users. Those users indicating strong correlations may be categorized as bots, whereas those who do not may be categorized as part of flash crowd traffic.
摘要:
The ranking quality of a ranked list may be evaluated. In an example embodiment, a method is implemented by a system to access log data, ascertain which entries of a ranked list are skipped, and determine a ranking quality metric from the skipped entries. More specifically, log data that reflects user interactions with a ranked list having multiple entries is accessed. The user interactions include at least indications of which of the multiple entries are selected entries. It is ascertained which entries of the multiple entries of the ranked list are skipped entries based on the selected entries. The ranking quality metric for the ranked list is determined responsive to the skipped entries.
摘要:
Systems, methods, and computer media for efficiently processing user log data are provided. A received user log data analysis request specifies: target user log features that identify users in a target user group, analysis user log features that identify data associated with the users in the target user group, and an analysis to perform on the identified data associated with the users in the target user group. Occurrences of specified features are extracted from user logs and stored. Users associated with an occurrence of each of the extracted and stored target user log features are identified as users in the target user group. Occurrences of the analysis user log features that are associated with a user in the target user group are extracted and reformatted for the analysis specified in the analysis request.
摘要:
A system for dynamically updating user accessible features of a software application on a client computer has a user interface, a local usage data file, and a data mining engine. The user interface is adapted to receive operator inputs. The local usage data file is adapted to store usage information corresponding to the operator inputs. The data mining engine is adapted to process the stored usage information and to generate local adjustments to a user interface of the software application based on the operator inputs. In one embodiment, a server is adapted to receive usage data from a plurality of application instances on a plurality of client computers and to generate global adjustments based on the received usage data. In one embodiment, the system has a merge feature adapted to blend and resolve conflicts between local and global adjustments to generate an interface adjustment for the user interface.
摘要:
The subject invention relates to systems and methods that automatically learn data relevance from past search activities and apply such learning to facilitate future search activities. In one aspect, an automated information retrieval system is provided. The system includes a learning component that analyzes stored information retrieval data to determine relevance patterns from past user information search activities. A search component employs the learning component to determine a subset of current search results based at least in part on the relevance patterns, wherein numerous variables can be processed in accordance with the learning component to efficiently generate focused, prioritized, and relevant search results.
摘要:
A method of preparing a tip for lithography, includes forming a mold having at least one recess; disposing a first polymer in the recess to form an apex of the tip,; curing the first polymer in the recess; and disposing a second polymer in the recess to form a base of the tip. The Young's Modulus of the second polymer is lower than the Young's Modulus of the first polymer. The tip structure for lithography includes a substrate, and a layered structure including a tip having an apex of a first polymer and a base of a second polymer. The first polymer is less resiliently deformable than the second polymer.