Organizing User Search Histories
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This document proposes a system to organize user search histories into query groups for web personalization. The system has four main modules: 1) a query group module that computes query groups from search histories, 2) a search history module that stores user search queries and clicks over time, 3) a query relevance module that calculates relevance between queries, and 4) a dynamic query grouping module that uses a similarity function to dynamically group queries. The goal is to better understand users' search contexts and tailor their search experiences.
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ORGANIZING USER SEARCH HISTORIES
The document discusses a system for organizing user search histories into query groups. It aims to leverage search query logs to better support users' long-term information needs on the web. The existing system identifies query groups through iterative merging of singleton queries, but this has drawbacks. The proposed system uses signals from search logs like clicks to determine relevance among query groups in a dynamic way. The system architecture includes modules for admin, registered and unregistered users to view and search query groups and financial data. Technologies like Java, JSP, and MySQL are chosen for their advantages including platform independence, security and performance.
Organizing user search histories
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Personalized web search has improved search quality but users are reluctant to share private information, limiting its proliferation. The paper proposes a framework called UPS that generalizes user profiles during queries to balance personalization utility and privacy risk exposure, as specified by the user. UPS uses two greedy algorithms, GreedyDP and GreedyIL, for runtime profile generalization, and an online predictor for personalizing queries. Experiments show UPS effectively protects privacy while maintaining personalization benefits, and GreedyIL outperforms GreedyDP in efficiency.
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The document discusses a system for organizing user search histories into query groups. It aims to leverage search query logs to better support users' long-term information needs on the web. The existing system identifies query groups through iterative merging of singleton queries, but this has drawbacks. The proposed system uses signals from search logs like clicks to determine relevance among query groups in a dynamic way. The system architecture includes modules for admin, registered and unregistered users to view and search query groups and financial data. Technologies like Java, JSP, and MySQL are chosen for their advantages including platform independence, security and performance.
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The document proposes a system to organize user search histories into query groups to better support users' long-term information needs on the web. It discusses limitations of existing approaches and motivates a dynamic method of query grouping. The proposed system would allow users to view and search their financial history data organized into groups. It outlines the technical, operational, and economic feasibility of the system and provides details on system architecture, modules, and technologies used like Java, JSP, and MySQL. The document concludes that signals from search logs can help determine relevance among query groups to enhance query suggestions and result ranking.
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User search goal inference and feedback session using fast generalized – fuzz...
User search goal inference and feedback session using fast generalized – fuzz...
How to Apply Your Taxonomy to Your Content Automatically
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IRJET- A Novel Technique for Inferring User Search using Feedback Sessions
IRJET- A Novel Technique for Inferring User Search using Feedback Sessions
Integrating Behavior User Studies with Log Analysis
Integrating Behavior User Studies with Log Analysis
More from Ali Habeeb
Anonymous Connections And Onion Routing
This document discusses anonymous connections and onion routing. It describes how onion routing allows senders and receivers to communicate anonymously through intermediate nodes called onion routers. It outlines the steps of defining a route, constructing an anonymous connection and onion, moving the onion through the connection, and destroying the connection. The purpose of onion routing is to protect the anonymity of network users and make communications resistant to eavesdropping and other attacks.
Opinion Mining
This document provides an overview of opinion mining and sentiment analysis. It defines opinion mining as attempting to automatically determine human opinion from natural language text. It discusses some key applications, such as classifying reviews and understanding public opinion. The document also outlines some challenges, such as understanding context and differing domains. It then describes common models for sentiment analysis, including preparing data, analyzing reviews linguistically, and classifying sentiment using techniques like machine learning classifiers.
WAP
WAP (Wireless Application Protocol) is a protocol that allows users to access information and services on the internet using handheld wireless devices like mobile phones. It uses a layered architecture and protocols like WSP, WTP, and WTLS to enable wireless internet access via technologies like GSM, CDMA, and UMTS networks. WAP was designed to work with microbrowsers and uses the markup language WML instead of HTML to optimize content for small screens and low bandwidth connections.
USB 3.0
USB 3.0 allows for much faster data transfer speeds of up to 5Gbps, which is 10 times faster than USB 2.0. It includes improvements like increased power delivery and more efficient data streaming. USB 3.0 is backward compatible with previous standards and uses an additional set of pins in its connectors to separate the SuperSpeed signals from the standard USB 2.0 ones. The specification also optimized power efficiency through asynchronous notifications and lower idle power requirements.
Blue Eyes
Blue eye is a personal area network system intended to monitor an operator's brain and physiological conditions to avoid disasters from human error. It consists of a data acquisition unit with sensors that connects via Bluetooth to a central system unit software on a PC. The central system unit analyzes the sensor data through different modules and logs the results for offline review, applying security measures like encryption and access rights. Potential applications include power plant control rooms, ship bridges, aircraft control centers, and professional driving to ensure constant operator attention through brain and health monitoring. The technology may eventually allow interaction with computers like interacting with other people through eye and voice commands of everyday devices.
Cloud Security
This document discusses security issues related to cloud computing. It begins by defining cloud computing and describing common cloud service and deployment models. It then outlines traditional security problems like data loss, downtime, and malware that still apply in cloud environments. New issues introduced by cloud characteristics like virtualization, multi-tenancy, and elastic scaling are also examined, such as virtualization vulnerabilities and lack of network perimeter control. The document concludes by focusing on data security challenges involving confidentiality, integrity and availability of data in transit, at rest, and in use within cloud platforms. Homomorphic encryption is presented as a potential solution for securely outsourcing computation on encrypted data.
Data-Centric Routing Protocols in Wireless Sensor Network: A survey
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Web Security
Web applications are increasingly targeted by cyber criminals. This document proposes solutions to common web application attacks like SQL injection (SQLIA) and cross-site request forgery (CSRF). It suggests encrypting sensitive data to prevent SQLIA and using secret cross-site request forgery tokens for each request to block unauthorized form submissions and prevent CSRF. An example e-commerce application called Instant Media is presented to demonstrate these vulnerabilities. The proposed solutions aim to enhance web security without additional overhead.
Secure erasure code based distributed storage system with secure data forwarding
This document proposes a secure distributed storage system that uses erasure coding and threshold proxy re-encryption. The system allows for robust, confidential storage and forwarding of encrypted data across storage servers without a central authority. It consists of four main modules: 1) System setup which generates keys for users and storage servers, 2) Data storage where a user's message is encrypted and dispersed across storage servers, 3) Data forwarding which allows a user to delegate access to another user via re-encryption of the stored data, and 4) Data retrieval where a user can retrieve their encrypted data from the storage servers.
Detecting and Resolving Firewall Policy Anomalies
This document proposes a framework for detecting and resolving firewall policy anomalies. It first identifies policy conflicts by segmenting the packet space. It then generates action constraints based on a risk assessment and works to resolve conflicts by reordering rules to satisfy the constraints. Finally, it aims to eliminate redundant rules by analyzing the properties of rule subspaces. The overall goal is to provide an innovative approach for managing firewall policy anomalies.
Bit Torrent Protocol
This document discusses the architecture and workings of the BitTorrent protocol. It begins with an introduction and overview of other file transfer methods. The key components of the BitTorrent system are then explained, including the torrent file, tracker, peers, and client software. The document outlines how BitTorrent uses a decentralized structure and tit-for-tat data exchange between peers to efficiently distribute file pieces across the network with no single point of failure.
A study of Data Quality and Analytics
This document summarizes research on predictive modeling and analytics applied to time series data. It discusses using linear and nonlinear models like GARCH and neural networks to forecast electricity demand and stock prices. The research focuses on comparing the accuracy of GARCH, ARIMA, SARIMA and neural network models. It also evaluates using PMML to deploy predictive models. Data is collected on electricity consumption and stock prices to test and analyze the performance of the different predictive modeling techniques.
Adhoc and Sensor Networks - Chapter 10
This document provides an overview of security challenges and solutions in ad hoc networks. It discusses topics like authentication, key management, secure routing, cooperation between nodes, wireless sensor networks, and intrusion detection systems. The main challenges outlined are the lack of centralized control, dynamic topology, resource constraints of nodes, and vulnerability of wireless links. Lightweight, distributed, reactive, and fault-tolerant approaches are needed to address these challenges.
Adhoc and Sensor Networks - Chapter 09
This document provides an overview of wireless sensor networks (WSNs) including their architecture, layers, protocols, and applications. It discusses the introduction and classifications of WSNs. It describes the typical hardware components of sensor nodes and discusses various MAC layer protocols like S-MAC and SMACS that aim to reduce energy consumption. The document also covers routing techniques and mobility support in WSNs.
Adhoc and Sensor Networks - Chapter 08
This document provides an overview of wireless sensor networks and discusses key design considerations. It describes the components of sensor nodes like the Mica mote and issues around sensing and communication ranges. Some key challenges in wireless sensor network design are energy consumption, clustering sensors, and dealing with heterogeneous and mobile sensors. The document outlines many applications of wireless sensor networks and concludes by discussing future research directions.
Adhoc and Sensor Networks - Chapter 07
This document discusses TCP performance over mobile ad hoc networks (MANETs). It begins with an overview of TCP and how it was designed for wired networks. In MANETs, TCP faces challenges from node mobility, which can cause network partitions and route changes. It also discusses how lower network layers like the MAC layer and routing protocols can impact TCP. Several solutions are presented to improve TCP for MANETs, including modifying TCP to better handle mobility-related issues and providing it feedback to distinguish route failures from congestion.
Adhoc and Sensor Networks - Chapter 06
The document discusses directional antennas and their use in ad hoc networks. It covers topics like antenna concepts including gain, radiation pattern and beam width. It also discusses the evolution of directional antenna systems from sectorized to smart antennas. Key advantages of using directional antennas are higher capacity, connectivity and coverage range. The document outlines issues with using directional antennas in ad hoc networks, including new types of hidden terminals, deafness problems, and directional neighborhood concepts. It also discusses broadcasting and routing protocols in the context of directional antennas.
Adhoc and Sensor Networks - Chapter 05
The document discusses wireless personal area networks (WPANs) and Bluetooth technology. It provides an overview of Bluetooth, including its history and applications. Key technical aspects of Bluetooth are covered, such as piconets, scatternets, and the different link types. The document also compares WPAN standards and technologies like Bluetooth, IEEE 802.15, and discusses their performance.
Adhoc and Sensor Networks - Chapter 04
This document provides an overview of wireless local area network (WLAN) technologies and standards. It discusses transmission techniques for both wired and wireless networks, including infrared, microwave/radio frequencies, and spread spectrum techniques. It also examines various medium access control (MAC) protocol issues for wireless networks like the hidden terminal problem, reliability, collision avoidance, and congestion control. The document reviews the IEEE 802.11 standard for WLANs as well as the HIPERLAN/2 standard, and discusses areas for further enhancement and future directions in WLAN technologies.
Adhoc and Sensor Networks - Chapter 03
The document discusses routing protocols and approaches for broadcasting, multicasting, and geocasting in mobile ad hoc networks (MANETs). It describes the broadcast storm problem that can occur when simple flooding is used for broadcasting in MANETs. This results in a large number of redundant rebroadcasts. The document then summarizes various protocols proposed to optimize broadcasting in MANETs, including probability-based, area-based, neighbor knowledge-based, and connected dominating set-based approaches. It also discusses multicasting and geocasting issues and protocols for MANETs.
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Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
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Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
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Organizing User Search Histories
- 1. User Query Clustering for Web Personalization
- 2. Contents • Objective • Modules • Input Dataset • Module Description • References
- 3. • Objective: To organize users search history into a set of query groups.
- 4. Modules The proposed system has the following modules: •Query Group •Search History •Query Relevance •Dynamic Query Grouping
- 5. Input Dataset Query Time Query ClickURL 2008-11-13 00:01:30 kitchen counter in new or leans http://www.su perpages.com 2008-11-13 00:01:33 photo example quarter doubled die coin http://www.coi nresource.com 2008-11-13 00:01:39 plays Perry cox wife scrubs http://www.ref erence.com
- 6. Query Group Module • This module is responsible for computing groups. • First and foremost, query grouping allows the search engine to better understand a user’s session and potentially tailor that user’s search experience according to her needs. • Once query groups have been identified, search engines can have a good representation of the search context behind the current query using queries and clicks in the corresponding query group.
- 7. Search History • This module is responsible for storing the search history of the user. • User’s search history consists of the Query, URL with the corresponding time and date. • User’s search history is stored in the database which is used for organizing according to the group.
- 11. Query Relevance Module • This module is responsible to compute query relevance between two queries using QFG. • The edges in Query Fusion Graph correspond to pairs of relevant queries extracted from the query logs and the click logs. • Query Fusion Graph merges the information of both Query Reformulation Graph and Query Click Graph.
- 12. • This module calculates the query relevance by performing random walks over the query fusion graph.
- 13. Dynamic Query Grouping Module • This module is responsible to group queries dynamically. • The proposed similarity function is used to find the similarity of queries while grouping them.
- 14. References • Organizing User Search Histories Heasoo Hwang, Hady W. Lauw, Lise Getoor, and Alexandros Ntoulas IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 24, NO. 5, MAY 2012 • Agglomerative clustering of a search engine query log Doug Beeferman Lycos Inc. 4002 Totten Pond Road Waltham, MA 02451
- 15. Thank You