Next Generation Web Search: Augmenting Information Access for Radiologists

Radiographics ◽  
2007 ◽  
Vol 27 (5) ◽  
pp. 1519-1521 ◽  
Author(s):  
Adam E. Flanders
Keyword(s):  
Web Search ◽  
Information Access ◽  
Next Generation

The dilemma of the direct answer

2020 ◽  
Vol 54 (1) ◽  
pp. 1-12
Author(s):  
Martin Potthast ◽  
Matthias Hagen ◽  
Benno Stein
Keyword(s):  
Paradigm Shift ◽  
Information Needs ◽  
Web Search ◽  
Information Sources ◽  
Information Access ◽  
User Preferences ◽  
Information System Design ◽  
Trade Offs ◽  
Remarkable Progress ◽  
Direct Answer

No Web technology has undergone such an impressive evolution as Web search engines did and still do. Starting with the promise of "Bringing order to the Web" 1 by compiling information sources matching a query, retrieval technology has been evolving to a kind of "oracle machinery", being able to recommend a single source, and even to provide direct answers extracted from that source. Notwithstanding the remarkable progress made and the apparent user preferences for direct answers, this paradigm shift comes at a price which is higher than one might expect at first sight, affecting both users and search engine developers in their own way. We call this tradeoff "the dilemma of the direct answer"; it deserves an analysis which has to go beyond system-oriented aspects but scrutinize the way our society deals with both their information needs and means to information access. The paper in hand contributes to this analysis by putting the evolution of retrieval technology and the expectations at it in the context of information retrieval history. Moreover, we discuss the trade offs in information behavior and information system design that users and developers may face in the future.

Studying Web Search Engines from a User Perspective

2012 ◽  
pp. 411-437
Author(s):  
Stéphane Chaudiron ◽  
Madjid Ihadjadene
Keyword(s):  
Search Engines ◽  
Information Seeking ◽  
Web Search ◽  
Information Access ◽  
Modern Society ◽  
User Perspective ◽  
Web Search Engines ◽  
Political Dimensions ◽  
Concept Of Information ◽  
And Behavior

This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of “information practice” and other related concepts such as “use”, “activity”, and “behavior” largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.

Chapter 2: Next Generation Web Search

2010 ◽  
pp. 11-23 ◽  
Author(s):  
Ricardo Baeza-Yates ◽  
Prabhakar Raghavan
Keyword(s):  
Web Search ◽  
Next Generation

scholarly journals Literature Retrieval and Mining in Bioinformatics: State of the Art and Challenges

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Andrea Manconi ◽  
Eloisa Vargiu ◽  
Giuliano Armano ◽  
Luciano Milanesi
Keyword(s):  
Information Retrieval ◽  
Web Search ◽  
State Of The Art ◽  
Information Access ◽  
Daily Basis ◽  
Huge Amount ◽  
Dominant Form ◽  
Web Search Engine ◽  
The World ◽  
E Mail

The world has widely changed in terms of communicating, acquiring, and storing information. Hundreds of millions of people are involved in information retrieval tasks on a daily basis, in particular while using a Web search engine or searching their e-mail, making such field the dominant form of information access, overtaking traditional database-style searching. How to handle this huge amount of information has now become a challenging issue. In this paper, after recalling the main topics concerning information retrieval, we present a survey on the main works on literature retrieval and mining in bioinformatics. While claiming that information retrieval approaches are useful in bioinformatics tasks, we discuss some challenges aimed at showing the effectiveness of these approaches applied therein.

Task-based support in search engines

2020 ◽  
Vol 54 (1) ◽  
pp. 1-2
Author(s):  
Darío Garigliotti
Keyword(s):  
Search Engines ◽  
Web Search ◽  
Information Access ◽  
Semantic Search ◽  
Systematic Evaluation ◽  
Task Completion ◽  
Information Need ◽  
User Query ◽  
Entity Retrieval ◽  
Knowledge Intensive

Web search has become a key technology on which people rely daily for getting information about almost everything. The evolution of the search experience has also shaped the expectations of people about it. Many users seem to expect today's web search engines to behave like a kind of "wise interpreter," capable of understanding the meaning behind a search query, realizing its current context, and responding to it directly and appropriately. Search by meaning, or semantic search, encompasses a large portion of information retrieval (IR) research devoted to study more meaningful representations of the information need expressed by the user query. Entity cards, direct displays, and verticals are examples of how major commercial search engines have indeed responded to user expectations, capitalizing on query understanding. Search is usually performed with a specific goal underlying the query. In many cases, this goal consists of a nontrivial task to be completed. Current search engines support a small set of basic tasks, and most of the knowledge-intensive workload for supporting more complex tasks is left to the user. Task-based search can be viewed as an information access paradigm that aims to enhance search engines with functionalities for recognizing the underlying tasks in searches and providing support for task completion. The research presented in this thesis focuses on utilizing and extending methods and techniques from semantic search in the next stage of the evolution of search engines, namely, to support users in achieving their tasks. Our work can be grouped in three grand themes: (1) Entity type information for entity retrieval : we conduct a systematic evaluation and analysis of methods for type-aware entity retrieval, in terms of three main dimensions. Also, we revisit the problem of hierarchical target type identification, present a state-of-the-art supervised learning method, and analyze the usage of automatically identified target entity types for type-aware entity retrieval; (2) Entity-oriented search intents : we propose a categorization scheme for entity-oriented search intents, and study the distributions of entity intent categories per entity type. We further develop a method for constructing a knowledge base of entity-oriented search intents; and (3) Task-based search : we design a probabilistic generative framework for task-based query suggestion, and principledly estimate each of its components. Furthermore, we introduce the problems of query-based task recommendation and mission-based task recommendation, and establish respective methods as suitable baselines.

scholarly journals Mobile Findex: Facilitating Information Access in Mobile Web Search with Automatic Result Clustering

2008 ◽  
Vol 2008 ◽  
pp. 1-14 ◽  
Author(s):  
Tomi Heimonen
Keyword(s):  
User Interface ◽  
Web Search ◽  
User Study ◽  
Information Access ◽  
Search Performance ◽  
List Presentation ◽  
Mobile Web ◽  
Subjective Evaluations ◽  
Significant Difference ◽  
Screen Space

Designing an effective mobile search user interface is challenging, as interacting with the results is often complicated by the lack of available screen space and limited interaction methods. We present Mobile Findex, a mobile search user interface that uses automatically computed result clusters to provide the user with an overview of the result set. In addition, it utilizes a focus-plus-context result list presentation combined with an intuitive browsing method to aid the user in the evaluation of results. A user study with 16 participants was carried out to evaluate Mobile Findex. Subjective evaluations show that Mobile Findex was clearly preferred by the participants over the traditional ranked result list in terms of ease of finding relevant results, suitability to tasks, and perceived efficiency. While the use of categories resulted in a lower rate of nonrelevant result selections and better precision in some tasks, an overall significant difference in search performance was not observed.

scholarly journals A Framework for Evaluating the Retrieval Effectiveness of Search Engines

2012 ◽  
pp. 456-479 ◽  
Author(s):  
Dirk Lewandowski
Keyword(s):  
Search Engines ◽  
Web Search ◽  
Theoretical Framework ◽  
Short Description ◽  
Next Generation ◽  
Reliable Test ◽  
General Design ◽  
Additional Information ◽  
Retrieval Effectiveness

This chapter presents a theoretical framework for evaluating next generation search engines. The author focuses on search engines whose results presentation is enriched with additional information and does not merely present the usual list of “10 blue links,” that is, of ten links to results, accompanied by a short description. While Web search is used as an example here, the framework can easily be applied to search engines in any other area. The framework not only addresses the results presentation, but also takes into account an extension of the general design of retrieval effectiveness tests. The chapter examines the ways in which this design might influence the results of such studies and how a reliable test is best designed.

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