List of Figures 1.1“ Bridge” nodes as influential nodes. 2. 1 A part of the MOVIELENS interface 3. 1 Formation of a social network from a CF algorithm 3.2 Inexpensive computation of the Loo-based measures on the USER-BASED 122 kNN CF algorithm to compute a loo-based influence measure are rated matters along with how many are rated for ENIPD 4.3 Comparing entropy and standard deviation of movies 4. 4 Per odels of ENiD 4.5 Effects of the qualitative fac 4.6 Distribution of enid that influent 4.9 Improving coverage with influencers 1 Ar rly ratings can be non-re 5.2 She she steps we took to prepare data nd to inves- tigate the extent an approach is able to handle the early evaluation problem. 75 5.3 Approaches to tackle the early evaluation problem are compared 6.1 Distribution of ENSI on a) USER-BASED kNN and b) ITEM-BASED knn CF 6.2 Nature of ite 6. 3 Limitations of using a set of static neighbors Reproduced with permission of the copyright owner. Further reproduction prohibited without permissionReproduced with permission of the copyright owner. Further reproduction prohibited without permission