Recommender System for Multiple Databases Based on Web Log Mining

Finding information from a large collection of resources is tedious and time-consuming process. Due to overload, searchers often need help assistance search find the information. Recommender system one innovative solutions problem related searching retrieval. It helps assist by recommending possible solution based on previous activities. These activities can be obtained web log, which requires log mining approach extract all keywords. In this study, keywords library were analysed keyword patterns obtained. several databases or that subscribed library. The finding revealed some popular most searchable among searchers. This was used design develop recommender other usability test showed it beneficial useful findings will also benefit management in planning managing subscription online at university’s