Information retrieval

Annotated Bibliography Research Question: • How Far does Google limit AUCians’ perception of the universe? o Are AUCians aware of such monitoring and tracking? o Are AUCians aware that they are given the part of the information relative to their own point of view? 1) Source One: (Primary) Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., & Granka, L. (2007, April). In google we trust: Users’ decisions on rank, position, and relevance. Journal of Computer-Mediated Communication, Vol. 12,

Abstract: A proliferation in the amount of crimes and crime related data has lead to a demand in digital forensic investigation tools that helps the investigator to detect, analyze and investigate the criminal data stored on digital devices. This system introduces a novel subject-based semantic approach that retrieves a set of top documents that are semantically related to each other corresponding to the subject defined by the investigator . Keywords: 1.Digital Forensic Investigation 2.Initial Subject

STATEMENT OF PURPOSE I am Nileshkumar Luhar. Discovering and understanding how certain mechanical products work have attracted my attention for the longest time. I have been watching TV show named How It’s Made on the Discovery Channel since last six years. Seeing the manner in which the machineries and cars are built and the various processes involved instilled desire in me to be part of the whole process. I felt that Engineering would be the area, which would give me the opportunity to learn and

Chapter 1 of James MacCormick’s book, Nine Algorithms That Changed The Future, provides an overview of what an algorithm is and introduces the reader of the algorithms that will be discussed throughout the book. An algorithm is a precise recipe that specifies the exact sequence of steps required to solve a problem (MacCormick, 3). Algorithm requires a sequence of steps that contain the instructions on what to do. One of the key elements of an algorithm is to have a set of rules in order to perform

Exam: 250635RR - Information Literacy Lesson 2 1. Wildcards D. are characters that stand for a letter or additional letters of a word. 2. An example of a plain language search is D. How do I change a flat tire? 3. NoodleTools is a website that B. provides educational tools, software, and information for students. 4. Using a minus (-) sign in your search indicates that B. the word should be excluded from your search. 5. Examples of common search engines used for research include B. Google, Bing

as well as on EBSCO. Reading through the results on both search engines was very informative and I believe I was able to form a solid understanding of the topic and current discussions through the information I gathered. Google While searching through Google I received a lot of relevant information. However, when I started to assess my results based on accuracy, authority, objectivity, and currency, I discovered that researched based solely on the results from Google may not be the most beneficial

This growing trend in the Internet space has led to upload and download of huge amount of data everyday from the Internet. Here, the biggest challenge for any engineer would provide accurate results as per the user intent. The process of information retrieval is becoming more and more challenging as web search methods have gained popularity. Every day, there are 500 Million Tweets, more than 4 Million Hours of content uploaded to Youtube. 3.6 Billion Instagram Likes, 4.3 Million Facebook messages

A quick keyword search using the term ‘business’ brought up 8,952,111 results as you can see in the accompanying screenshot. The impressive date range stretches from the year 1644 to 2016. This is of course too much information to sort through but on the left hand side of the page, EBSCO offers a range of refining features to narrow your search term. However not all of the refining features work as they should. For example, the geography filter is not the most accurate

users may have different intentions for the same query . Searching for apple by a farmer has a different meaning from searching by a technical person .There is one solution to solve these problems is personalized search where user specific information is considered to distinguish between exact intentions of user queries and reranked the images. Figure.1: (top) non-personalized and (bottom) personalized

A Visit to Google’s Clinic: An Analysis of Society’s Usage of Google for Self-Diagnosis Michelle Cheung University of California, Irvine Author Note Michelle Cheung, University of California, Irvine, School of Social Sciences, cheungm3@uci.edu, SS3A HW ID #385  Table of Contents Background and Significance Methods Review of Resources and Existing Literature. Popular Press Sources. General Reference Sources. Academic/Peer Reviewed Sources. Existing Data, Tables, and Figures. Results Discussion