A Query for you all.If any solution you feel just let me know please.
I am working on a project where we are inputting a query and fetching all the relevant links from Googlescholar and ranking it.Now the next step is to open each link and fetch the reference from each link and rank it.The question is for fetching we need to open every paper and it cannot be ranked on the basis of citations.Is there any solution that how can we rank them if we dont want to open every link and if we open each link it will consume so much time.Do we have any solution to this.
You can fetch the google scholar citation value and convert it as your score.
You can search on google about how to get the sharing value.
Dear Shivani Khurana,
Look the link, maybe useful.
http://www.shivani-agarwal.net/Events/SDM-10-Tutorial/sdm10-tutorial.pdf
https://www.stat.uchicago.edu/~lekheng/meetings/mathofranking/slides/agarwal.pdf
Regards,
Shafagat
Shivani Khurana,
What is the process that you use for ranking once you open the link?
What is the criteria for generating the search query?
For example, if it is a domain based query I can:
Generate a sample of domain related documents and non domain documents and use a Naive Bayes classifier to discriminate the output text obtained from the query and use the score of the classifier. I would also automate the link extraction of the output with programming. Once you have the links to the websites, then I would use the crawler to get the pages.
I could also make other alternative scoring schemes and even automatically do query generation for your search. More information is needed to help solve your problem(s)
Regards
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