Depth- and breadth-first processing of search result lists

Klöckner, Kerstin; Wirschum, Nadine; Jameson, Anthony

doi:10.1145/985921.986115

Cited by 70 publications

(55 citation statements)

References 2 publications

(2 reference statements)

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“…However, this study only collected eye movements from three subjects, so the generalizability is unclear, and furthermore, no other measures of searcher performance were addressed. Larger-scale studies were performed by Brumby and Howes Howes 2003, 2004] and by Klöckner et al [Klöckner et al 2004]. Both studies analyze how users scan a list of results and how they trade-off exploring the result set with exploring outgoing links.…”

Section: Related Workmentioning

confidence: 99%

Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search

Joachims

Granka

Pan

et al. 2007

ACM Trans. Inf. Syst.

537

357

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This paper examines the reliability of implicit feedback generated from clickthrough data and query reformulations in WWW search. Analyzing the users' decision process using eyetracking and comparing implicit feedback against manual relevance judgments, we conclude that clicks are informative but biased. While this makes the interpretation of clicks as absolute relevance judgments difficult, we show that relative preferences derived from clicks are reasonably accurate on average. We find that such relative preferences are accurate not only between results from an individual query, but across multiple sets of results within chains of query reformulations.

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Section: Related Workmentioning

confidence: 99%

Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search

Joachims

Granka

Pan

et al. 2007

ACM Trans. Inf. Syst.

537

357

View full text Add to dashboard Cite

show abstract

“…Therefore, the consequences of introducing several modalities and an increased amount of content in a result list must be balanced against the benefit of introducing visual content. However, since most users seem to evaluate result lists linearly and only consider the top results [21,22], it is possible that reducing the results per page may compensate for some size effect. More research is needed to conclude on the efficiency of such an interface.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Dyslexia on Searching Visual and Textual Content: Are Icons Really Useful?

Berget

Sandnes

2015

Universal Access in Human-Computer Interaction. Access to Learning, Health and Well-Being

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Abstract.Little is known about how dyslexia affects online information seeking. This study addresses the search performance of 21 users with dyslexia and 21 controls in textual versus visual displays. The aim was to investigate whether visual content enhance search performance. Participants were presented with 24 icons and 24 words and asked to locate a target item. Eye-tracking data revealed no differences in performance in visual or textual content in the dyslexia group. There were no significant differences between the user groups on visual tasks. However, users with dyslexia performed significantly slower on textual tasks than controls, mainly due to longer fixation durations. Users in the control group took much less time solving textual tasks than visual tasks. The results indicate that there may be no advantages in replacing textual content with icons for users with dyslexia. However, replacing text with icons may be counterproductive for users without dyslexia.

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“…But the problem of DFS is, it normally searches by moving forward but not by considering cost. We also analysis breadth first search algorithm [14] and heuristic search [13] algorithm to get out expected result. To get the optimized cost base solution, we analysis Dijkstra's Algorithm [14].…”

Section: Related Workmentioning

confidence: 99%

Intelligent Tour Planning System using Crowd Sourced Data

Miah¹,

Masuduzzaman²,

Sarkar³

et al. 2018

IJEME

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To observe the beauty of nature and to visit various places around the world, a vast number of tourists visit different countries and many tourist attraction sites now-a-days. But Most of the tourist places have failed to introduce itself as a tourist destination to the visitor due to lack of proper information and proper guideline to visit there. This paper tries to focus on some problems in the tourism industry and try to solve those problems using crowd sourced data with some customized algorithms. Some of the main problems are the lack of information about a destination tourist spot, combination on budget to visit the spot, time of travels etc. We proposed a customize algorithm which will provide maximum suggestion to visit a place with nearest all sub place based on user destination within their given budget and time. Using our method, user can choose the most suitable plan for them to visit those places.

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Depth- and breadth-first processing of search result lists

Cited by 70 publications

References 2 publications

Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search

Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search

The Effect of Dyslexia on Searching Visual and Textual Content: Are Icons Really Useful?

Intelligent Tour Planning System using Crowd Sourced Data

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