Sumbul Jahan. Recommender Systems. This world is an over-crowded place. They all want to get our attention. But we need a few of them!. Something which is popular. Something which is of our interest. Something which is liked by people of our community. What we are looking for?.
An information filtering technology, commonly used on e-commerceWeb sites that uses a collaborative filtering to present information on items and products that are likely to be of interest to the reader.What is recommender system
No profile is available for new users.
Unrated items are not shown.
Users with thousands of purchases is a problem.Content Based - Limitations
Collaborative filtering systems can produce personal recommendations by computing the similarity between your preference and the one of other people.
More users, more ratings: better results.Collaborative Filtering
Different users might use different scales. Possible solution: weighted ratings, i.e. deviations from average rating.
Finding similar users/user group is not very easy.
No preference is available of new users.
No rating is available of new items.Collaborative filtering - limitations