Your search service sounds very interesting. I once also thought about a
similar application for shopping.
2009/12/21 fei liu
> that's a good idea. This approad will work.
>
> Supposing someone submit a query "nice rice restaurant", I think he/she
> wants to find a chinese restaurant. But you wi
that's a good idea. This approad will work.
Supposing someone submit a query "nice rice restaurant", I think he/she
wants to find a chinese restaurant. But you will find the category of
"restaurant" retrieved with higher score than "chinese restaurant".
Usually you may find no category retrieved b
Hi !
Many thanks to both of you for your suggestions and answers!
What Weiwei Wang suggests is a part of the solution I am willing to
implement. I will definitely use the suggest-as-you-type approach in the
query form as it will allow for pre-emptive disambiguation and I believe,
will give very s
Query classification is an interesting question and there are many papers
discussed this. For more infomation, you could refe these papers, "A
taxonomy of web search", "Understanding user goal in web search", "Our
winning solution to query classification in KDDCUP 2005".
In your question, i think
I think you can do this with search suggestion like algorithms.
First, you should categorize the search log, e.g. Thai Restaurant or Chinese
Restaurant or KFC should be assigned categories including Restaurant.
When user is typing, figure out from the search log which keyword is nearest
to the in
Can anybody help me or maybe point me to relevant resources I could learn
from ?
Thanks.
Hi,
I am trying to expand user queries to figure out potential document
categories implied in the query.
I wanted to know what was the best way to figure out the document category
that is the most relevant to the query.
Let me explain further:
I have created categories that are applied to documen
