Topic
Page layout
About: Page layout is a research topic. Over the lifetime, 2266 publications have been published within this topic receiving 23261 citations.
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09 Dec 1997TL;DR: In this article, the authors propose a method and apparatus for repositioning a content object on a page in response to a request to change the page framework associated with the page.
Abstract: A method and apparatus for repositioning a content object
on a page in response to a request to change the page
framework associated with the page, the method including
receiving a user request to change the page framework.
The current page framework information associated with
the page is retrieved including a description for each
framework member in the current page framework.
Alignment data for the content object is derived by
determining if any edge of the content object aligns with
a framework member. Thereafter, the page layout is
redefined according to the user request. Finally, the
content object is repositioned on the redefined page
based on the alignment data.
10 citations
06 Nov 2017
TL;DR: This work proposes a novel visual perception model inspired by human's visual search behaviors on page viewing to extract the visual features of Web pages and shows that such visual features can be efficiently acquired in the online setting with an extended inverted indexing scheme.
Abstract: When applying learning to rank algorithms to Web search, a large number of features are usually designed to capture the relevance signals. Most of these features are computed based on the extracted textual elements, link analysis, and user logs. However, Web pages are not solely linked texts, but have structured layout organizing a large variety of elements in different styles. Such layout itself can convey useful visual information, indicating the relevance of a Web page. For example, the query-independent layout (i.e., raw page layout) can help identify the page quality, while the query-dependent layout (i.e., page rendered with matched query words) can further tell rich structural information (e.g., size, position and proximity) of the matching signals. However, such visual information of layout has been seldom utilized in Web search in the past. In this work, we propose to learn rich visual features automatically from the layout of Web pages (i.e., Web page snapshots) for relevance ranking. Both query-independent and query-dependent snapshots are considered as the new inputs. We then propose a novel visual perception model inspired by human's visual search behaviors on page viewing to extract the visual features. This model can be learned end-to-end together with traditional human-crafted features. We also show that such visual features can be efficiently acquired in the online setting with an extended inverted indexing scheme. Experiments on benchmark collections demonstrate that learning visual features from Web page snapshots can significantly improve the performance of relevance ranking in ad-hoc Web retrieval tasks.
10 citations
TL;DR: In this paper, an attempt is made to concurrently design intercell layout and the MHS using a genetic algorithm based methodology for a Cellular Manufacturing System (CMS) environment under open field configuration.
10 citations
TL;DR: In this article, an original combination of the Systematic Layout Planning (SLP) methodology with Quality Function Deployment (QFD) for layout design of services is presented, which considers two s...
Abstract: This work presents an original combination of the Systematic Layout Planning (SLP) methodology with Quality Function Deployment (QFD) for layout design of services. This methodology considers two s...
10 citations
TL;DR: In this article, an Artificial Bee Colony (ABC) technique was used to solve the fixed area cellular layout problem in cellular manufacturing, which is based on the intelligent foraging behavior of a honeybee.
Abstract: The placement of production equipments plays a major role in designing a layout in cellular manufacturing. The better placement increases the productivity. This article introduces a new algorithm to design and optimize a fixed area cellular layout problem by using an artificial bee colony (ABC) technique which is based on the intelligent foraging behavior of a honeybee. The objective of this article is to determine the physical arrangement of work centers by minimizing the total traveling distance of the product. Volume of the product and distance between the work centers are the important factors that affect layout design. Some relative importance factors like priority of products, hazardous moves, and back-tracking moves are considered in this article. Layout moment ratio helps to compare the different proposed layouts. The higher layout moment ratio is the more desirable layout. Also this article compares the results of ABC technique with genetic algorithm (GA) and simulated annealing (SA) algorithm based on the total moment value, layout moment ratio, number of iterations, computation time, and back-tracking movements. Finally, it concluded that ABC is a better technique to solve fixed area cellular layout problems than the mentioned algorithms with high dimensionality.
10 citations