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Related papers: Credibility in Web Search Engines

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Given the abundance of applications of ranking in recent years, addressing fairness concerns around automated ranking systems becomes necessary for increasing the trust among end-users. Previous work on fair ranking has mostly focused on…

Machine Learning · Computer Science 2021-06-09 Nikola Konstantinov , Christoph H. Lampert

Honest cooperation among individuals in a network can be achieved in different ways. In online networks with some kind of central authority, such as Ebay, Airbnb, etc. honesty is achieved through a reputation system, which is maintained and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-15 Alexander Stannat , Johan Pouwelse

This presentation focuses on the importance of web crawling and page ranking algorithms in dealing with the massive amount of data present on the World Wide Web. As the web continues to grow exponentially, efficient search and retrieval…

Information Retrieval · Computer Science 2023-06-22 Nithin T K , Chandana S , Barani G , Chavva Dharani , M S Karishma

In this paper peer review reliability is investigated based on peer ratings of research teams at two Belgian universities. It is found that outcomes can be substantially influenced by the different ways in which experts attribute ratings.…

Digital Libraries · Computer Science 2013-07-29 Nadine Rons , Eric Spruyt

The effectiveness of clarification question models in engaging users within search systems is currently constrained, casting doubt on their overall usefulness. To improve the performance of these models, it is crucial to employ assessment…

Information Retrieval · Computer Science 2024-03-15 Leila Tavakoli , Johanne R. Trippas , Hamed Zamani , Falk Scholer , Mark Sanderson

Search query suggestions affect users' interactions with search engines, which then influences the information they encounter. Thus, bias in search query suggestions can lead to exposure to biased search results and can impact opinion…

Information Retrieval · Computer Science 2024-11-01 Fabian Haak , Björn Engelmann , Christin Katharina Kreutz , Philipp Schaer

The existing search engines sometimes give unsatisfactory search result for lack of any categorization of search result. If there is some means to know the preference of user about the search result and rank pages according to that…

Information Retrieval · Computer Science 2011-02-04 Debajyoti Mukhopadhyay , Pradipta Biswas , Young-Chon Kim

Ranks estimated from data are uncertain and this poses a challenge in many applications. However, estimated ranks are deterministic functions of estimated parameters, so the uncertainty in the ranks must be determined by the uncertainty in…

Methodology · Statistics 2023-06-22 Justin Rising

As one of the most pervasive applications of machine learning, recommender systems are playing an important role on assisting human decision making. The satisfaction of users and the interests of platforms are closely related to the quality…

Information Retrieval · Computer Science 2023-08-04 Yunqi Li , Hanxiong Chen , Shuyuan Xu , Yingqiang Ge , Juntao Tan , Shuchang Liu , Yongfeng Zhang

The internet contains large amounts of low-quality content, yet users expect web search engines to deliver high-quality, relevant results. The abundant presence of low-quality pages can negatively impact retrieval and crawling processes by…

Information Retrieval · Computer Science 2025-04-16 Francesca Pezzuti , Ariane Mueller , Sean MacAvaney , Nicola Tonellotto

Search engines, such as Google, have a considerable impact on society. Therefore, undesirable consequences, such as retrieving incorrect search results, pose a risk to users. Although previous research has reported the adverse outcomes of…

Information Retrieval · Computer Science 2023-05-29 Helena Häußler , Sebastian Schultheiß , Dirk Lewandowski

The widespread use of online review sites over the past decade has motivated businesses of all types to possess an expansive arsenal of user feedback to mark their reputation. Though a significant proportion of purchasing decisions are…

Social and Information Networks · Computer Science 2016-02-24 Azade Nazi , Mahashweta Das , Gautam Das

While it is often assumed that searching for information to evaluate misinformation will help identify false claims, recent work suggests that search behaviours can instead reinforce belief in misleading news, particularly when users…

There is increasing attention to evaluating the fairness of search system ranking decisions. These metrics often consider the membership of items to particular groups, often identified using protected attributes such as gender or ethnicity.…

Information Retrieval · Computer Science 2021-08-12 Ömer Kırnap , Fernando Diaz , Asia Biega , Michael Ekstrand , Ben Carterette , Emine Yılmaz

Keyword search engines are essential elements of large information spaces. The largest information space is the Web, and keyword search engines play crucial role there. The advent of keyword search engines has provided a quantum leap in the…

Information Retrieval · Computer Science 2020-09-21 Olegs Verhodubs

Despite the maturity already achieved by recommender systems algorithms, little is known about how to obtain and provide users with a proper rationale for a recommendation. Transparency and effectiveness of recommender systems may be…

Information Retrieval · Computer Science 2020-10-14 D. C. Hernandez-Bocanegra , J. Ziegler

Bias in online information has recently become a pressing issue, with search engines, social networks and recommendation services being accused of exhibiting some form of bias. In this vision paper, we make the case for a systematic…

The search engine is tightly coupled with social networks and is primarily designed for users to acquire interested information. Specifically, the search engine assists the information dissemination for social networks, i.e., enabling users…

Social and Information Networks · Computer Science 2017-03-20 Cai Fu , Chenchen Peng , Xiao-Yang Liu

In competitive search settings such as the Web, many documents' authors (publishers) opt to have their documents highly ranked for some queries. To this end, they modify the documents - specifically, their content - in response to induced…

Information Retrieval · Computer Science 2021-10-22 Gregory Goren , Oren Kurland , Moshe Tennenholtz , Fiana Raiber

Because the World Wide Web is a dynamic collection of information, the Web search tools (or "search engines") that index the Web are dynamic. Traditional information retrieval evaluation techniques may not provide reliable results when…

Information Retrieval · Computer Science 2007-05-23 Scott Nicholson
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