User's Profile Ontology-based Semantic Framework for Personalized Food and Nutrition Recommendation

Al-Nazer, Ahmed; Helmy, Tarek; Al-Mulhem, Mohammed

doi:10.1016/j.procs.2014.05.403

Cited by 47 publications

(15 citation statements)

References 7 publications

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“…Ahmed Al-Nazer et al [1]2014,proposed semantic Web and ontology techniques to interpret user's taste, build a nourished and health associated user's profile, and use the profile to categorize the associated knowledge so that users can make delicious food and exercise inquiries. A semantic framework that uses the personalization techniques based on integrated domain ontologies, pre-constructed by domain experts, to recommend the relevant food that is consistent with people's needs.…”

Section: Literature Surveymentioning

confidence: 99%

“…Many people are interested in the appropriate and meaningful information from the web. The web search engines has some constraint which provide adequate information to many people and some are not interested because the output of information is not relevant on the web to their needs [1]. People searches the information on the popular sites from which they can get and collect relevant and precise information on the food, health and nutrition.…”

Section: Introductionmentioning

confidence: 99%

“…The search engine should view the information as per the user's needs as they can get relevant information. This is very important in health and nutrition area when some food are restricted to user's because of their health conditions [1].…”

Section: Introductionmentioning

confidence: 99%

“…This framework will use the technology to analyze user's preference and will build a nourished and health associated user's profile and will use the profile to categorize the associated knowledge so that users can make delicious food and exercise inquiries. [1]. We will also use the Decision Tree algorithm for retrieving related information from the database.…”

Section: Introductionmentioning

confidence: 99%

“…This would provide to get more relevant and better result. So, we use the personalization technologies which help in recommending more relevant information to the user's needs [1].…”

Section: Introductionmentioning

confidence: 99%

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HealthCare Recommendation for Personalized Framework

Ahire¹,

Khanuja²

2015

IJCA

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Now a days, for any kind of information, people depend on internet. They use search engines like Google to search information over internet. The queries have to be accurate that will give the information related to user's Health Care.But there is huge amount of information on the internet and so it's difficult to get the relevant information easily. In case of searches on right food exercise, people usually have their own preferences. Also people are restricted to some medical conditions so some foods and exercises are avoided so they are attracted towards other food and exercises. Also the civilization where people reside will have impact on the number of choices and varieties of food.So there is need for easy to use framework for food and exercise recommendation. We propose ontology based framework for Health Care recommendation system which will provide precise information based on users requirements and constraints. This framework will use semantic web technology to analyze user's preferences and will build a nourished and health associated use's profile and will use the profile to categorize the associated knowledge so that users can make delicious food and exercise inquiries. We will also use the Decision Tree algorithm for retrieving related information from the database. General TermsData mining and Information Retrieval, Decision tree.

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Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…This would provide to get more relevant and better result. So, we use the personalization technologies which help in recommending more relevant information to the user's needs [1].…”

Section: Introductionmentioning

confidence: 99%

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