Research Article
A Hybrid Method to Solve Data Sparsity in Travel Recommendation Agents Using Fuzzy Logic Approach
Table 6
Clustering quality criterion and cluster centroids.
| | Attribute | Segment 1 | Segment 2 | Segment 3 | Segment 4 | Segment 5 | Segment 6 | Segment 7 | Segment 8 |
| | Rooms | 3.857273 | 3.912500 | 2.558357 | 4.256456 | 1.636855 | 1.741342 | 2.773479 | 3.182675 | | Value | 4.057727 | 1.915541 | 3.789293 | 1.859922 | 1.943301 | 1.946429 | 3.518877 | 4.437082 | | Location | 4.205000 | 2.106419 | 1.707750 | 3.457375 | 3.815727 | 1.887446 | 4.333853 | 2.675076 | | Service | 4.052727 | 2.989189 | 4.319950 | 2.980545 | 2.995275 | 1.817641 | 3.101092 | 1.562310 | | Cleanliness | 4.153636 | 2.768919 | 3.047930 | 3.177220 | 4.019237 | 1.871753 | 1.455538 | 3.459574 | | Sleep quality | 3.893182 | 4.292905 | 2.538749 | 1.631411 | 3.297334 | 2.056818 | 3.242434 | 2.948328 |
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Log-likelihood = −238811.8366, AIC = 478069.6732, and BIC = 479858.4760.
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