##this project is mainly used to get the github software recommendation of stackoverflow users ##to run this project, firstly you need to install JDK1.7+ ##in folder rec, use "mvn assembly:assembly" to compile this project ##use index_main.sh filter_projects.sh main.sh to run each subprogram

The project mainly consists of five parts

1. the sourceDao(com.ow2.rec.sourceDao) part is the operation of source database, which includes:

1. ProjectDao: this is the operation of Github projects
2. SOFFilterSourceDao: this is the operation of filtering the stackoverflow users
3. TagDao: this is the operation of stackoverflow tags
4. UserTagDao: this is the operation of the middle result table, which names user_tags

2. the targetDao(com.ow2.rec.targetDao) part is the operation of target database, which includes:

1. MatchResultDao: this is the operation of processing the match result of stackoverflow users and github projects
2. SOFFilterTargetDao: this is the operation of storing stackoverflow users after filtering

2. the lucene(com.ow2.rec.lucene) part includes all the operations relating to lucene, which includes:

1. LuceneIndex: create index
2. LuceneSearch: search projects using lucene index

3. the main(com.ow2.rec.main) part includes all the entrances of "main" functions, which includes:

1. FilterUsers: this is the entrance which used to filter stackoverflow users(those who is not that active in stackoverflow)
2. IndexMain: this is the entrance of creating lucene index
3. Main: this is the entrance of creating queries and calculate relation scores between stackoverflow users and github projects
4. Match: this is auxiliary class for Main class
5. GetGreatPrj: this is used to get projects with high activeness after getting the match result

4. the model(com.ow2.rec.model) part includes all the models used in the whole process:

1. MatchItem: this is the model corresponding to the match result
2. Project: this model is corresponding to Github projects
3. Tag: this model is corresponding to the stackoverflow Tags table
4. User: this model is corresponding to the stackoverflow Users table
5. UserTag: this model is correponding to the middle result table called user_tags, which is used to store the relation between stackoverflow users and their related tags

5. the util(com.ow2.rec.util) part is the auxiliary part:

1. Normalizer: this class is used to normalize the data that we used in the process, which includes the operation of tag, string, number and etc
2. SimilarityCounter: this class is used to calculate the similarity between two texts

##to run the project, we need the following database tables:

1. user_tags1~user_tags12: these tables are used to store the statistical middle result of stackoverflow users ,posts and tags structure: Id, UserId, PostId, Tag, Updatetime
2. Users: this is the users table of stackoverflow
3. user_tags: this table is used to store the stackoverflow user id and their related tags structure: Id, UserId, AllTags(eg:<file-io,java>)
4. watchers: this is the watchers table of github
5. stackoverflow_users: this table is used to store users of stackoverflow after filtering structure: same structure as Users
6. projects: this is the projects table of github

##the database we used in this project is ow2(source database) and ossean_production(target database). If you want to change the name, modify applicationContext.xml applicationContext_mybatis.xml in bin/resources

##the demo we will present in http://ossean.trustie.net/softwarerec