Difference between revisions of "RecDB"
Jump to navigation
Jump to search
| Line 1: | Line 1: | ||
| − | '''RecDB''' is An Open Source Recommendation Engine Built Entirely Inside PostgreSQL 9.2. RecDB allows application developers to build recommendation applications in a heartbeat through a wide variety of built-in recommendation algorithms like user-user collaborative filtering, item-item collaborative filtering, singular value decomposition. Applications powered by RecDB can produce online and flexible personalized recommendations to end-users. | + | '''RecDB''' is An Open Source Recommendation Engine Built Entirely Inside PostgreSQL 9.2. RecDB allows application developers to build recommendation applications in a heartbeat through a wide variety of built-in recommendation algorithms like user-user collaborative filtering, item-item collaborative filtering, singular value decomposition. Applications powered by RecDB can produce online and flexible personalized recommendations to end-users. RecDB has the following main features: |
| − | RecDB is an out-of-the-box tool for web and mobile developers to implement a myriad of recommendation applications. The system is easily used and configured so that a novice developer can define a variety of recommenders that fits the application needs in few lines of SQL | + | * '''Usability:''' RecDB is an out-of-the-box tool for web and mobile developers to implement a myriad of recommendation applications. The system is easily used and configured so that a novice developer can define a variety of recommenders that fits the application needs in few lines of SQL. |
| + | *'''Seamless Database Integration:''' Crafted inside PostgreSQL database engine, RecDB is able to seamlessly integrate the recommendation functionality with traditional database operations, i.e., SELECT, PROJECT, JOIN, in the query pipeline to execute ad-hoc recommendation queries. | ||
| − | + | *'''Scalability and Performance:'' 'The system optimizes incoming recommendation queries (written in SQL) and hence provides near real-time personalized recommendation to a high number of end-users who expressed their opinions over a large pool of items. | |
| − | |||
| − | |||
| − | |||
| − | |||
| Line 17: | Line 14: | ||
* [https://github.com/Sarwat/recdb-postgresql RecDB Source Code on Github ] | * [https://github.com/Sarwat/recdb-postgresql RecDB Source Code on Github ] | ||
| + | |||
| + | |||
| + | |||
| + | [[Category: C/C++]] | ||
| + | [[Category: Database]] | ||
| + | [[Category: Software]] | ||
Revision as of 18:19, 12 December 2013
RecDB is An Open Source Recommendation Engine Built Entirely Inside PostgreSQL 9.2. RecDB allows application developers to build recommendation applications in a heartbeat through a wide variety of built-in recommendation algorithms like user-user collaborative filtering, item-item collaborative filtering, singular value decomposition. Applications powered by RecDB can produce online and flexible personalized recommendations to end-users. RecDB has the following main features:
- Usability: RecDB is an out-of-the-box tool for web and mobile developers to implement a myriad of recommendation applications. The system is easily used and configured so that a novice developer can define a variety of recommenders that fits the application needs in few lines of SQL.
- Seamless Database Integration: Crafted inside PostgreSQL database engine, RecDB is able to seamlessly integrate the recommendation functionality with traditional database operations, i.e., SELECT, PROJECT, JOIN, in the query pipeline to execute ad-hoc recommendation queries.
- 'Scalability and Performance: 'The system optimizes incoming recommendation queries (written in SQL) and hence provides near real-time personalized recommendation to a high number of end-users who expressed their opinions over a large pool of items.
