Is that possible we can train a model on relevant feedback to know whether the users give the real feedback? I mean can we use this method to detect whether users give us a real feedback? I think giving feedback would distinguish on different culture people. For example, maybe U.S people would like to give feedback or not. I'm just wondering it is maybe a criteria to measure.
1. In the web search, link is very important message for the query. If the search engine company add the advertisement between the page links. Do they violate information integrity? 2. In the link analysis, you said that there are some people who made the fake linked page(static pages) to enhance their website ranking. Can web search engine detect such pages?
1. If we use the query likelihood model, how do we deal with the zero probability problem? 2. If we use the document likelihood model, Is not the same document length as the different contents and how do we deal with this problem?
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