89,886 research outputs found
Automated functional testing of online search services
Search services are the main interface through which people discover information on the Internet. A fundamental challenge in testing search services is the lack of oracles. The sheer volume of data on the Internet prohibits testers from verifying the results. Furthermore, it is difficult to objectively assess the ranking quality because different assessors can have very different opinions on the relevance of a Web page to a query. This paper presents a novel method for automatically testing search services without the need of a human oracle. The experimental findings reveal that some commonly used search engines, including Google, Yahoo!, and Live Search, are not as reliable as what most users would expect. For example, they may fail to find pages that exist in their own repositories, or rank pages in a way that is logically inconsistent. Suggestions are made for search service providers to improve their service quality. Copyright © 2010 John Wiley & Sons, Ltd. A novel method for automatically testing search services without the need of a human oracle is presented. The experimental findings reveal that some commonly used search engines, including Google, Yahoo!, and Live Search, are not as reliable as what most users would expect. For example, they may fail to find pages that exist in their own repositories, or rank pages in a way that is logically inconsistent. Suggestions are made for search service providers to improve their service quality. Copyright © 2010 John Wiley & Sons, Ltd.link_to_subscribed_fulltex
Web service Recommendation by combining QOS and user comments
Due to well gaining experience of internet its user’s expectation from the search engines increases dramatically. Due to this search engines capability is not only limited to the providing desired URL’s to the users query. Moreover to this search engines are expected to provide information by analyzing in proper way like by doing surveys and recommendations. So many recommendation systems are existed which are working on some limited aspect of the parameters for recommending a web service. This paper represents a method of recommendation which considers users opinion and quality of the service parameter of the web service. The proposed idea captures the response time of the user transaction for a web service along with the users opinion comments about the web service. Then by combining both a new hybrid recommendation system is introduced which efficiently provides the recommendation that is more accurate and fine grained. This hybrid recommendation is powered with the Pearson correlation and strong NLP protocols to attain most accurate state.
DOI: 10.17762/ijritcc2321-8169.15083
Information Gatekeepers: Paid Placement and Competition
Information gatekeepers such as Internet search engines and shopbots play a crucial role in the information society. Recently, such gatekeepers have begun implementing a paid placement strategy, where some content providers are given, in return for a placement fee, prominent positioning in response to user queries. Generally, users have disutility toward the bias created by paid placement, and the search engine can manipulate the placement strategy to affect usersí disutility. We analyze the gatekeeperís tradeoff between revenue from paid placement and the potential loss in advertising revenue from the loss of credibility. In the optimal paid placement strategy, an increase in the gatekeeperís quality of service allows it to improve profits from paid placement, moving it closer to the ideal. However, an increase in the advertising rate motivates the gatekeeper to increase market share by reducing further its reliance on paid placement and fraction of paying providers. When there is competition between search engines of identical quality, they will choose the same bias level. For heterogeneous search engines with different qualities, the equilibrium outcome depends largely on the usersí cognitive or other limitations on the number of search results they effectively consider
Pre-service teachers’ search strategies when sourcing educational information on the Internet
Teachers need to be able to inform and justify their teaching practice based on available research knowledge. When searching for research knowledge, the Internet plays a crucial role as it allows teachers to search for and access evidence long after their own education at university. On the Internet, however, educational information can have varying levels of scientific groundedness (e.g., science articles or blogs from colleagues), and research indicates that (pre-service) teachers struggle to find, select, and evaluate online educational information. It is precisely for this reason that it is important to educate (pre-service) teachers on how to competently source online information. This study describes pre-service teachers’ search strategies when sourcing online educational information about the topic “students’ use of mobile phones in class.” It sheds light on their use of (1) basic or advanced search strategies and (2) the role of Internet-specific epistemological beliefs (ISEBs). N = 77 pre-service teachers conducted a realistic search on the Internet and selected those web items (WI) that they perceived relevant for justifying whether mobile phones should be used in class. Their sourcing behavior was screen-recorded and analyzed. Most selected WI were found via search engines of Google LLC (91.4%). Advanced search strategies were defined as (1) using two or more search engines (performed by 62.3% of participants), (2) adapting search terms and/or formulating new search terms (90.9%), (3) selecting at least one WI that was not listed among the first four ranks on the first search engine results page (54.7%), and (4) checking for the trustworthiness of the author/source (14.3%) or the quality of the content (13%). Binary logistic regressions were used to analyze the relationship between ISEBs and (1) search strategies and (2) science-relatedness of WI as dependent variables. The predictor ISEB did not contribute to the models, meaning that differences in participants’ ISEBs did not significantly relate to their search strategies nor to the science-relatedness of WI, all β ≤ |0.36|, Wald ≤ 0.64, p ≥ 0.43. The role of pre-service teachers’ search strategies is discussed with respect to teachers’ evidence-informed reasoning and its implications for teacher education.Peer Reviewe
Is Google the next Microsoft? Competition, Welfare and Regulation in Internet Search
Internet search (or perhaps more accurately `web-search') has grown exponentially over the last decade at an even more rapid rate than the Internet itself. Starting from nothing in the 1990s, today search is a multi-billion dollar business. Search engine providers such as Google and Yahoo! have become household names, and the use of a search engine, like use of the Web, is now a part of everyday life. The rapid growth of online search and its growing centrality to the ecology of the Internet raise a variety of questions for economists to answer. Why is the search engine market so concentrated and will it evolve towards monopoly? What are the implications of this concentration for different `participants' (consumers, search engines, advertisers)? Does the fact that search engines act as `information gatekeepers', determining, in effect, what can be found on the web, mean that search deserves particularly close attention from policy-makers? This paper supplies empirical and theoretical material with which to examine many of these questions. In particular, we (a) show that the already large levels of concentration are likely to continue (b) identify the consequences, negative and positive, of this outcome (c) discuss the possible regulatory interventions that policy-makers could utilize to address these
Dominant Search Engines: An Essential Cultural & Political Facility
When American lawyers talk about essential facilities, they are usually referring to antitrust doctrine that has required certain platforms to provide access on fair and nondiscriminatory terms to all comers. Some have recently characterized Google as an essential facility. Antitrust law may shape the search engine industry in positive ways. However, scholars and activists must move beyond the crabbed vocabulary of competition policy to develop a richer normative critique of search engine dominance.
In this chapter, I sketch a new concept of essential cultural and political facility, which can help policymakers recognize and address situations where a bottleneck has become important enough that special scrutiny is warranted. This scrutiny may not always culminate in regulation. However, it clearly suggests a need for publicly funded alternatives to the concentrated conduits and content providers colonizing the web
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
CHORUS Deliverable 3.3: Vision Document - Intermediate version
The goal of the CHORUS vision document is to create a high level vision on audio-visual search engines in order to give guidance to the future R&D work in this area (in line with the mandate of CHORUS as a Coordination Action).
This current intermediate draft of the CHORUS vision document (D3.3) is based on the previous CHORUS vision documents D3.1 to D3.2 and on the results of the six CHORUS Think-Tank meetings held in March, September and November 2007 as well as in April, July and October 2008, and on the feedback from other CHORUS events.
The outcome of the six Think-Thank meetings will not just be to the benefit of the participants which are stakeholders and experts from academia and industry – CHORUS, as a coordination action of the EC, will feed back the findings (see Summary) to the projects under its purview and, via its website, to the whole community working in the domain of AV content search.
A few subjections of this deliverable are to be completed after the eights (and presumably last) Think-Tank meeting in spring 2009
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