This section discuss about the common traits or ideas observed in the three research topics. Although, each of the three articles discuss a unique idea, all of them are aimed at utilizing the web data to produce better results. Web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilization of the valuable user generated data from the social media or the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by an individual. All the three articles propose an idea to solution the problem stated, compared their results to the existing models and showed significant improvement. Nguyen et al \cite{Micro:Ng} generates a summarized version of micro-reviews generated by various users through various social media sites about any …show more content…
This process is two fold. First, the model learns the different aspects that are distributed over a set of decided words and also learn their scores. Second, the model forecasts the aspects of the user for an item for a future review. For the first step, a vector of user preferences of aspects of an item, a vector of aspects of an item are used. The Dot product of the two vectors are used for the prediction step. Bi et al \cite{Rec:Bi} provides ranked related entities to the user query along with the results of the main entity. In order to do this, this articles makes use of user's search history, click history and knowledge base. A matrix is created comprising of the user information which connects to the entities along with the ranking, click results. A tri-linear function\cite{Rec:Bi} is defined mapping these details and which will be used to rank the related entities
Linux is an open source operating system based on UNIX. There are many types of Linux operating systems available today, but there were several resemblances between different Linux systems. All Linux systems use the Linux kernel. Deepin, Xubuntu, and Kubuntu are three of the many Linux distributions.
In today’s society, consumers are looking for a product that is willing to do it all. A product must fit both professional and personal needs. There are many products out there but three of the most common include, Apple’s Macbook Pro, Apple’s Iphone 6, and Microsoft’s Surface Pro 3. All three of these devices have their advantages and disadvantages, but the one I feel is the greatest buy is the Mac Book Pro by Apple. It is important to compare the similarities and difference of all three of the popular devices.
Don't expect to find too many custom ROMs coming your way if you are an owner of the Xolo Q1000 device. Custom ROMs are usually reserved for some of the most popular devices in the world and become popular as the device ages to due to the ability of a new ROM to upgrade the firmware. One thing you can do with your rooted Xolo Q1000 device, however, is install the same root requiring apps on your device. If your Xolo has the ability to install apps from the Google Play Store, then it also has the ability to install any of the root apps from the Google Play Store and so forth. There's nothing somebody with a Samsung Galaxy S6 smartphone can do with root applications that you cannot do with your Xolo Q1000 device.
1) Abstinence, or preventing sex, is the best way to prevent HIV/STD and pregnancy because if you don't have sex then you don't need to worry about getting pregnant or getting a STD/HIV. Condoms or other ways to prevent it are not always a 100% accurate but if you don't have sex you don't need to worry about it.
We installed VMware Workstation (VM) on all four laptops and then installed Windows 7 on VM. Subsequently, we installed DaemonFS [20] a tool that monitors in real time files on the hard disk. We also installed several tools [21] on the machines for viewing history, cache and cookies. Next, we used Paragon Disk Wiper [22] to wipe all external devices and installed PortableApps [23] on them. This utility allows you to run different programs from a flash drive. Subsequently, we installed one portable web browser on each external device and connected them to the suspect laptops. Write-blocker was used to preserve the integrity. We should note that no regular browser was installed. At this point we were ready to do the web browsing activities. Each portable browser was individually launched in private mode followed by the same series of web activities for all four browsers, i.e. email account login, secure account login such as a bank account, sending/receiving email, searching for images and videos, uploading and downloading files and streaming some video.
from socket import * import ssl import socket import base64 msg = ' \r\n I love computer networks!' endmsg = '\r\n.\r\n' # Choose a mail server (e.g. Google mail server) and call it mailserveraddress def main(): mailserveraddress = "smtp.gmail.com" portnumber = 587 # Create socket called clientsocket and establish a TCP connection with mailserveraddress #Fill in start clientsocket = socket.socket(AF_INET, SOCK_STREAM) clientsocket.connect((mailserveraddress,portnumber)) #Fill in end recv =
7. When done correctly, you should find the Send_Command.exe file, and the ports.bat files inside.
The main reasons for the use of twitter are that you able to “follow” interesting people, follow trends, good for promoting brands/companies, plenty of celebrity access, and “to the point tweets” as you are limited to type less than 140 characters and finally, a good source for breaking
Please make sure that you are properly entering in the monitoring sheets. I understand that the new caller don't have tabs or hyperlinks set up. Lindsay is working on getting those up and running. Remember that you need to enter in the callers that you have monitored into the computer and then place the finished sheets in the orange pocket behind the blank monitoring sheets. Please do not clip them to the front of the binder.
There once was a girl who was about 4 years old. She had dark brown eyes and hair. And that girl was Tess Leong aka… ME!!!
The reason a person would upgrade is if the person wants to keep an existing user setting, installed applications, files and documents that stored in the computer, and if the person wants to maintain created local users and groups. However, it can be only upgraded to windows 10 if the current operating system is windows 7 or windows 8.
There are those who are quick to get into the holiday spirit, and there are those who blog angrily about how they saw candy canes on the Wal-Mart shelves before Halloween. To satisfy those in the former group, radio stations have been jumping on the 24-hour holiday music train since the mid-1990s. To the disappointment of the latter, the trend is gaining momentum and starting earlier than ever this year.
Formula 1 is the top tier of racing. Formula 1 is the ultimate test of speed, endurance, and focus. Teams from all over the world come together to put their drivers and their cars to the test. Formula 1 had a television audience of 425 million people during the 2014 season. Formula 1 racing has not only been a sport for racing enthusiast but has also had a huge impact on automobile competition.
Br iey, in PROS, the pages judged more interesting for one user are stored in a module called HubFinder that collects hub pages related to the useropics (i.e. pages that contain many links to high-quality resources). This module analyses the link str ucture of the web r unning a customised version of HITS algo- r ithm (Section 2.2.4). A fur ther algor ithm called HubRank combines the page rank value with the hub value of web pages in order to extend the result set of HubFinder. The nal page set is passed to the Personalized PageRank algor ithm that re-ranks the result pages each time the user submits a quer y. In order to suppor t topic sensitive web searches, Haveliwala and Taher [12] pro- pose to compute, for each page, an impor tance score by tailor ing the PageRank algor ithm (Section 2.2.1) scores for a set of topics. Thus, pages considered impor- tant in some subject domains may not be considered impor tant in others. For this reason, the algor ithm computes 16 topic-sensitive PageRank sets of values, each based on URLs from the top-level categor ies of the Open Director y Project. Ever y time a quer y is submitted, it is, at rst, matched to each of the topics and, instead of using a single global PageRank value, a linear combination of the topic-sensitive ranks are drawn, weighted using the quer y similar ity to the topics. Since all the link-
Data mining is a process of extracting the information from the large set of databases. As the web contain huge amount of information finding the exact information of which user required is difficult. Web personalization is a process of analyzing the user?s navigational behavior based on web sequence access performed by the user based on which recommendations are done. Web usage mining plays an important role in recommendation of pages to user based on user interest. Different kinds of technics and algorithms are used for web personalization and recommendation of pages. The technics of data mining such as collaborative filtering, association rule mining, ontology, support vector machine, sequence access patterns and web log mining are compared to know which technic is more efficient for recommendation of web pages based on web personalization. A survey conducted to find which technic easily recommends the web pages to user such that it consumes less time for searching the information. The paper proposes the technic that provides efficient results for recommendation of pages to user based on user interest comparing parameters like precision and recall and matching algorithm. Web log based recommendations are more efficient when compared to other technics as it consumes less time for searching the relevant information. The survey gives the result in the form of the graph for different parameters.