A Hybrid Method to Solve Data Sparsity in Travel Recommendation Agents Using Fuzzy Logic Approach

Table 7

Clustering quality criterion and cluster centroids based on overall ratings.

Criteria and overall ratings		Segment 1	Segment 2	Segment 3	Segment 4	Segment 5	Segment 6	Segment 7	Segment 8
Rooms	Very low (1)	45	47	884	0	1465	850	758	524
	Low (2)	202	251	850	2	1125	640	721	607
	Moderate (3)	448	648	645	509	357	344	697	705
	High (4)	832	982	469	1078	16	14	547	652
	Very high (5)	673	1032	365	1238	0	0	482	802
Value	Very low (1)	14	1174	158	1190	1158	758	239	0
	Low (2)	111	1005	325	954	992	532	509	0
	Moderate (3)	400	645	656	572	641	457	692	270
	High (4)	884	129	971	111	167	101	880	1312
	Very high (5)	791	7	1103	0	5	0	885	1708
Location	Very low (1)	0	1042	1473	271	112	789	0	783
	Low (2)	25	993	1242	417	305	578	1	837
	Moderate (3)	396	588	462	649	621	381	430	750
	High (4)	882	242	36	728	904	100	1272	506
	Very high (5)	897	95	0	762	1021	0	1502	414
Service	Very low (1)	0	541	0	522	569	827	539	1696
	Low (2)	65	593	0	582	590	572	601	1338
	Moderate (3)	501	700	476	659	637	408	730	256
	High (4)	887	609	1233	557	620	41	667	0
	Very high (5)	747	517	1504	507	547	0	668	0
Cleanliness	Very low (1)	0	678	557	417	0	838	1839	304
	Low (2)	0	710	659	528	173	532	1272	463
	Moderate (3)	455	627	718	651	734	358	94	811
	High (4)	952	508	631	599	919	117	0	841
	Very high (5)	793	437	648	632	1137	3	0	871
Sleep quality	Very low (1)	41	0	915	1373	402	715	479	693
	Low (2)	207	0	816	1123	461	533	532	652
	Moderate (3)	408	516	658	331	682	416	695	702
	High (4)	834	1061	484	0	690	148	731	618
	Very high (5)	710	1383	340	0	728	36	768	625
Overall rating	Very low (1)	0	0	0	1	0	309	0	1
	Low (2)	0	148	217	238	194	732	168	163
	Moderate (3)	77	1336	1431	1415	1403	765	1299	1405
	High (4)	1004	1313	1396	1065	1246	42	1509	1511
	Very high (5)	1119	163	169	108	120	0	229	210