The document outlines the key steps and class diagram for a web page recommender system. It describes preprocessing steps like stripping HTML tags and stemming words. It then shows the class diagram with interfaces like WebRecommender, SearchEngine and QueryFormulator, and classes that implement these interfaces like YahooEngine and YahooQueryFormulator. It also mentions next steps like implementing the interfaces and classes.

2. Class Diagram setQueryFormulator(QueryFormulator qf) <<interface>> WebRecommender Recommend(Page p): List<Page> <<interface>> SearchEngine Search() : List<Page> StructureFeatureRecommender Recommend(Page p): List<Page> SemanticFeatureRecommender Recommend(Page p): List<Page> YahooEngine Search(QueryFormulator qf) : List<Page> GoogleEngine Search(QueryFormulator qf) : List<Page> <<interface>> QueryFormulator CreateQuery(List<String> ls): List<String> YahooQueryFormulator CreateQuery(List<String> ls): List<String> GoogleQueryFormulator CreateQuery(List<String> ls): List<String> <<interface>> QueryTermGenerator generateQueryTerms ( List<String> keyTerms ) : List<String> TFIDFQueryTermGenerator generateQueryTerms ( List<String> keyTerms ) : List<String> StatisticFeatureRecommender Recommend(Page p): List<Page>