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Table 4: Query results for Netflix data.
S. No. The Pacifier
1 Agent Cody Banks
2 Agent Cody Banks 2: Destination London
3 Lilo and Stitch 2
4 101 Dalmations II: Patch’s London
Adventure
5 Mean Creek
Table 5: Query results for Netflix data with Bi-LBLMA.
S. No. Resident Evil
1 Dawn of the Dead
2 Sasquatch
3 Wrong Turn
4 Evil Remains
5 Dead Birds
5 CONCLUSION
We have introduced two novel models for topic mod-
elling and applied it for recommendation tasks. The
models are found to be effective when compared to
widely used models such as LDA. From the exam-
ple queries, we see that our models are able to deliver
promising suggestions that the user might like. The
improvement achieved by using GD and BL distribu-
tions is also clearly seen. Using biterms in conjunc-
tion with our models tend to improve the results con-
siderably. Especially, the Bi-LBLMA model proves
to be a good alternative to LDA based on the results
from both the experiments.
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