RecipeCrawler: Collecting Recipe Data from WWW Incrementally

Yu, Li; Meng, Xiaofeng; Wang, Liping; Li, Qing

doi:10.1007/11775300_23

Cited by 16 publications

(12 citation statements)

References 15 publications

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“…It should be noted that there are various Web-based and software-based approaches that have supported the automated capture of recipe information (Li et al, 2006).…”

Section: Recipe Informationmentioning

confidence: 99%

An Overview of the State of the Art of Automated Capture of Dietary Intake Information

Steele

2014

Critical Reviews in Food Science and Nutrition

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Significant benefits arise from being able to capture dietary or nutritional intake information automatically or semi-automatically. These include the ability for individuals to know and understand their nutritional intake and hence improve their diet and health. To date, only highly manual processes such as 24-hour recall, food diaries, and food journals have been utilized which have been overly cumbersome for widespread adoption. Emerging informatics, computer vision, mobile computing, and sensor-based approaches are likely to play a role in further automating the capture of dietary intake information and these are becoming increasingly utilizable through such advents as the rapid and ubiquitous uptake of smartphones with built-in digital cameras and other sensors. In this paper, we review the state of the art of technologies for automatic capture of dietary intake information and identify significant outstanding research problems and promising directions.

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“…It should be noted that there are various Web-based and software-based approaches that have supported the automated capture of recipe information (Li et al, 2006).…”

Section: Recipe Informationmentioning

confidence: 99%

An Overview of the State of the Art of Automated Capture of Dietary Intake Information

Steele

2014

Critical Reviews in Food Science and Nutrition

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“…In graphing recipes, Li [10] provided a means to search a recipe database to find similar recipes by structure rather than text and Makino [13] showed that sub-recipes can be identified, extracted and recombined to form new recipes.…”

Section: Recipe Graphsmentioning

confidence: 99%

“…[10,13] suggest that shorter steps will be easier to follow than the traditional long paragraph form of recipes. But in this study 5 cooks said they liked the longer steps of the control condition.…”

Section: Segmentation Of Recipe Stepsmentioning

confidence: 99%

Recipe sub-goals and graphs

Buykx

Petrie

2012

Proceedings of the ACM Multimedia 2012 Workshop on Multimedia for Cooking and Eating Activities

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Following recipes can be difficult for cooks. Many recipes use technical culinary language and condense their instructions into brief sentences, cooks may also get lost in long paragraphs as they jump around the recipe to find tasks to perform in parallel. Multimedia content has been shown to increase the confidence of cooks but few comparative evaluations have been reported. In this study we evaluated the effect of adding pictures of interim goal states to a plain text recipe and the effect of presenting recipe steps in a dependency graph representation. Initial results indicate that cooks value pictures of interim goals states to compare their ingredients against, and prefer a graph representation of a recipe because it supports the cook's non-linear path through recipe instructions.

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“…In this paper, we explore the features of a Chinese recipe database, in which recipes are crawled from the Web by our RecipeCrawler [11]. To solve the long-standing retrieval problem on Chinese Web, we propose a framework to consider documents by their inner relationship or, in other words, inter-structural similarity.…”

Section: Our Contributionsmentioning

confidence: 99%

“…Table 1 shows a cooking procedure of recipe 'Hu Die Gu' (蝴蝶骨) in Chinese (translated as 'Braised Spare Ribs' in English) crawled by our RecipeCrawler [11]. The cooking procedure is parsed into basic actions and their related properties as discussed in [19].…”

Section: Recipe Model Simplifiedmentioning

confidence: 99%

Substructure similarity measurement in chinese recipes

Wang

et al. 2008

Proceedings of the 17th International Conference on World Wide Web

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Improving the precision of information retrieval has been a challenging issue on Chinese Web. As exemplified by Chinese recipes on the Web, it is not easy/natural for people to use keywords (e.g. recipe names) to search recipes, since the names can be literally so abstract that they do not bear much, if any, information on the underlying ingredients or cooking methods. In this paper, we investigate the underlying features of Chinese recipes, and based on workflow-like cooking procedures, we model recipes as graphs. We further propose a novel similarity measurement based on the frequent patterns, and devise an effective filtering algorithm to prune unrelated data so as to support efficient on-line searching. Benefiting from the characteristics of graphs, frequent common patterns can be mined from a cooking graph database. So in our prototype system called RecipeView, we extend the subgraph mining algorithm FSG to cooking graphs and combine it with our proposed similarity measurement, resulting in an approach that well caters for specific users' needs. Our initial experimental studies show that the filtering algorithm can efficiently prune unrelated cooking graphs without affecting the retrieval performance and the similarity measurement gets a relatively higher precision/recall against its counterparts.

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RecipeCrawler: Collecting Recipe Data from WWW Incrementally

Cited by 16 publications

References 15 publications

An Overview of the State of the Art of Automated Capture of Dietary Intake Information

An Overview of the State of the Art of Automated Capture of Dietary Intake Information

Recipe sub-goals and graphs

Substructure similarity measurement in chinese recipes

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