Decision Making System for Comparative Question Using Entity Mining

Comparing one thing with another is a typical part of human decision making process; especially during an online purchase scheme making Comparisons between things is a typical part of human decision making process. But however, it is difficult to know what are to be compared and what can be the alternatives. For example, if someone is interested in certain products such as digital cameras, then he /she would want to know what the alternatives are and compare different cameras before making any purchase. To get rid of this difficulty, my paper presents an ideal way for automatically mine comparable entities from comparative questions that users posted online. It gives an opportunity to improve the search experience by automatically offering comparisons to user. To ensure high precision and high recall, we are developing a weakly-supervised bootstrapping method for comparative question identification and comparable entity extraction by leveraging a large online question archive. The results will be very useful in helping users’ exploration of alternative choices by suggesting comparable entities based on other users’ prior requests.