Existing Condition Analysis on Bad Faith of Auto Bidding for Search Engine Keywords

2010 ◽  
Vol 439-440 ◽  
pp. 128-133
Author(s):  
Qing Hua Zhang

With rapid development of search engine users, the auto bidding for search engine keywords is stealthily rising and such kind of service is now essentially being conducted on the majority of existing search engines. For merchants, users and even the search engine service suppliers, auto bidding is of many advantages, which is also thought it has brought forth serious phenomenon of bad faith in terms of such kind of similar search websites, leading to a crisis of confidence. This text is intended to give it a full analysis on the various problems of bad faith resulted from the auto bidding for search engine keywords. And it is in consideration of the huge controlling forcing and social influence of the search engines, there lies a great need in strengthening the closer government supervision. While guaranteeing a healthy and orderly development of search engine, our purpose is to render back an honest and clean searching environment of internet information to the public.

2010 ◽  
Vol 26-28 ◽  
pp. 376-381
Author(s):  
Qing Hua Zhang

The technical nature of search engine in collecting and extracting mass internet information enables auto bidding advertisement based on search engine enjoys a powerful advantage beyond the rules of the game, compared with the advertisement of ordinary web page nature. However, because Internet and search engine is a newly developed matter with many of their behaviors drifting away outside the traditional government supervision and industry self-discipline, it has caused the frequent occurrence of unhealthy tendencies, provoking great dissatisfaction of society. It has become a must to effectively regulate auto bidding advertisement. The three aspects could be considered the starting points in terms of government supervision, industry self-discipline and social supervision. We shall not only insist on and perfect government supervision, but also strengthen the industry self-discipline for realizing organic entity of administrative supervision of government and management of industry self-discipline as well as organic entity of administrative review and self-discipline examination, offering useful references for perfecting the advertisement regulation mode of government leadership system in China. While guaranteeing a healthy and orderly development of search engine, our purpose is to render back an honest and clean searching environment of internet information to the public.


2011 ◽  
Vol 467-469 ◽  
pp. 129-133 ◽  
Author(s):  
Qing Wei Zeng ◽  
Jie Jiang

With the rapid development of Internet, how to find useful information rapidly is becoming more and more important. General search engines somewhat satisfy users’ search needs. However, they do not consider users’ interests or background. Search engine will be more personal, intelligent and professional. It is necessary that personalized search engines come to reality. This paper designed and realized personalized search engines system by learning user feedback information. System can be able to optimize searching results and return the results that user is most interested in, also can tell users about other users’ interested modes, in order to make users share searching results with each other and improve the efficiency of searching.


2005 ◽  
Vol 3 ◽  
pp. 26-32
Author(s):  
Bernhard Rieder

Search engines have become an integral part of our Internet use. They shape the way we look at the world, they provide orientation where there is none; but the maps they draw are too often hijacked by commercial interest. Search engines are less black box than black foam; functional decoupling, parasite technologies, and the embedding in the greater context of culture and society render the search act subject to overdetermination. Control is thus diluted into a dense network of human and non-human “actants” and the power of the search engine is located in a control zone rather than a control center. In order to shift power back to the public, this paper proposes the concept of “symmetry of confidence”, a new relationship between search engine companies and their users.


2005 ◽  
Vol 3 ◽  
pp. 39-45
Author(s):  
Herman T Tavani

The purpose of this paper is to show how certain uses of search-engine technology raise concerns for personal privacy. In particular, we examine some privacy implications involving the use of search engines to acquire information about persons. We consider both a hypothetical scenario and an actual case in which one or more search engines are used to find information about an individual. In analyzing these two cases, we note that both illustrate an existing problem that has been exacerbated by the use of search engines and the Internet – viz., the problem of articulating key distinctions involving the public vs. private aspects of personal information. We then draw a distinction between “public personal information” (or PPI) and “nonpublic personal information” (or NPI) to see how this scheme can be applied to a problem of protecting some forms of personal information that are now easily manipulated by computers and search engines – a concern that, following Helen Nissenbaum (1998, 2004), we describe as the problem of privacy in public.


2014 ◽  
Vol 543-547 ◽  
pp. 3294-3299
Author(s):  
Bei Zhan Wang ◽  
Kang Chen ◽  
Wei Long Ye ◽  
Xu Wang

With the rapid development of Internet and the explosive growth of Internet information, massive data processing received more concerns. Micro-blog, which is an important representative pattern of the Internet development in the future, has become the essential tool of communication and marketing to all of us. Processing and using the massive data resulting from micro-blog activities has becomes a hot topic. In this paper, we propose a method to design and implement the User Interest Based Search Engine, a search engine can be used to search for the same interest micro-blog users. We at first crawl massive micro-blog data from micro-blog websites, and store this data in HBase. Then we process the massive data and build indices using MapReduce. Finally, we build a search engine web site based on Solr, and we propose a rank algorithm for searching. By employing this User Interest Based Search Engine, we can accurately search other users with the same interests as ourselves.


2013 ◽  
Vol 312 ◽  
pp. 791-795
Author(s):  
Xiang Lin Zuo ◽  
Wen Bo Wang ◽  
Ying Wang ◽  
Wan Li Zuo

The past decade has witnessed the rapid development of search engines, which has become an indispensable part of everyday life. However, people are no longer satisfied with accessing to ordinary information, and they may instead pay more attention to fresh information. This demand poses challenges to traditional search engines, which concern more about relevance and importance of web pages. A search engine compresses three modules: crawler, indexer and searcher. Changes are needed for all these three parts to improve search engine's freshness. This paper investigates the first part of search engine crawler, we analyze the requirements for real-time crawler, and propose a novel real-time crawler based on more accurate estimation of refresh time. Experimental results demonstrate that the proposed real-time crawler can help search engine improve its freshness.


Author(s):  
Natalia Kostenko

The subject matter of research interest here is the movement of sociological reflection concerning the interplay of public and private realms in social, political and individual life. The focus is on the boundary constructs embodying publicity, which are, first of all, classical models of the space of appearance for free citizens of the polis (H. Arendt) and the public sphere organised by communicative rationality (Ju. Habermas). Alternative patterns are present in modern ideas pertaining to the significance of biological component in public space in the context of biopolitics (M. Foucault), “inclusive exclusion of bare life” (G. Agamben), as well as performativity of corporeal and linguistic experience related to the right to participate in civil acts such as popular assembly (J. Butler), where the established distinctions between the public and the private are levelled, and the interrelationship of these two realms becomes reconfigured. Once the new media have come into play, both the structure and nature of the public sphere becomes modified. What assumes a decisive role is people’s physical interaction with online communication gadgets, which instantly connect information networks along various trajectories. However, the rapid development of information technology produces particular risks related to the control of communications industry, leaving both public and private realms unprotected and deforming them. This also urges us to rethink the issue of congruence of the two ideas such as transparency of societies and security.


2021 ◽  
pp. 089443932110068
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh ◽  
Roberto Ulloa

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions. For that, we utilize an algorithmic auditing methodology that uses virtual agents to conduct large-scale analysis of algorithmic information curation in a controlled environment. Specifically, we look at the text search results for “us elections,” “donald trump,” “joe biden,” “bernie sanders” queries on Google, Baidu, Bing, DuckDuckGo, Yahoo, and Yandex, during the 2020 primaries. Our findings indicate substantial differences in the search results between search engines and multiple discrepancies within the results generated for different agents using the same search engine. It highlights that whether users see certain information is decided by chance due to the inherent randomization of search results. We also find that some search engines prioritize different categories of information sources with respect to specific candidates. These observations demonstrate that algorithmic curation of political information can create information inequalities between the search engine users even under nonpersonalized conditions. Such inequalities are particularly troubling considering that search results are highly trusted by the public and can shift the opinions of undecided voters as demonstrated by previous research.


2020 ◽  
Vol 19 (10) ◽  
pp. 1602-1618 ◽  
Author(s):  
Thibault Robin ◽  
Julien Mariethoz ◽  
Frédérique Lisacek

A key point in achieving accurate intact glycopeptide identification is the definition of the glycan composition file that is used to match experimental with theoretical masses by a glycoproteomics search engine. At present, these files are mainly built from searching the literature and/or querying data sources focused on posttranslational modifications. Most glycoproteomics search engines include a default composition file that is readily used when processing MS data. We introduce here a glycan composition visualizing and comparative tool associated with the GlyConnect database and called GlyConnect Compozitor. It offers a web interface through which the database can be queried to bring out contextual information relative to a set of glycan compositions. The tool takes advantage of compositions being related to one another through shared monosaccharide counts and outputs interactive graphs summarizing information searched in the database. These results provide a guide for selecting or deselecting compositions in a file in order to reflect the context of a study as closely as possible. They also confirm the consistency of a set of compositions based on the content of the GlyConnect database. As part of the tool collection of the Glycomics@ExPASy initiative, Compozitor is hosted at https://glyconnect.expasy.org/compozitor/ where it can be run as a web application. It is also directly accessible from the GlyConnect database.


2001 ◽  
Vol 1 (3) ◽  
pp. 28-31 ◽  
Author(s):  
Valerie Stevenson

Looking back to 1999, there were a number of search engines which performed equally well. I recommended defining the search strategy very carefully, using Boolean logic and field search techniques, and always running the search in more than one search engine. Numerous articles and Web columns comparing the performance of different search engines came to different conclusions on the ‘best’ search engines. Over the last year, however, all the speakers at conferences and seminars I have attended have recommended Google as their preferred tool for locating all kinds of information on the Web. I confess that I have now abandoned most of my carefully worked out search strategies and comparison tests, and use Google for most of my own Web searches.


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