Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
1316 | 2723 | 33.9 | 37% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | RECOMMENDER SYSTEMS | authKW | 6228785 | 28% | 74% | 755 |
2 | COLLABORATIVE FILTERING | authKW | 4524674 | 20% | 73% | 552 |
3 | RECOMMENDATION SYSTEM | authKW | 672646 | 4% | 50% | 121 |
4 | CONTENT BASED FILTERING | authKW | 374229 | 2% | 76% | 44 |
5 | PERSONALIZATION | authKW | 365773 | 6% | 20% | 161 |
6 | PERSONALIZED RECOMMENDATION | authKW | 299160 | 1% | 68% | 39 |
7 | FOLKSONOMY | authKW | 297931 | 2% | 44% | 61 |
8 | INFORMATION FILTERING | authKW | 240461 | 2% | 34% | 63 |
9 | SOCIAL TAGGING | authKW | 213129 | 1% | 49% | 39 |
10 | SPARSITY PROBLEM | authKW | 179393 | 1% | 100% | 16 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 74877 | 43% | 1% | 1177 |
2 | Computer Science, Information Systems | 62798 | 39% | 1% | 1073 |
3 | Computer Science, Theory & Methods | 11691 | 18% | 0% | 502 |
4 | Computer Science, Software Engineering | 11413 | 15% | 0% | 416 |
5 | Operations Research & Management Science | 6589 | 11% | 0% | 313 |
6 | Computer Science, Cybernetics | 5842 | 4% | 0% | 120 |
7 | Information Science & Library Science | 2576 | 5% | 0% | 138 |
8 | Engineering, Electrical & Electronic | 2570 | 20% | 0% | 542 |
9 | Computer Science, Hardware & Architecture | 2504 | 6% | 0% | 154 |
10 | Telecommunications | 1294 | 6% | 0% | 173 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | WEB SCI | 122942 | 2% | 21% | 53 |
2 | FILMAFFIN COM TEAM | 67272 | 0% | 100% | 6 |
3 | INFORMAT ECON | 58139 | 1% | 25% | 21 |
4 | SMART MEDIA | 52164 | 1% | 29% | 16 |
5 | WEB INTELLIGENCE | 50445 | 0% | 50% | 9 |
6 | INTEC WICA | 44848 | 0% | 100% | 4 |
7 | WICA | 39235 | 0% | 50% | 7 |
8 | AGENTS | 35877 | 0% | 80% | 4 |
9 | INFORMAT ECON INTERNET | 35034 | 0% | 63% | 5 |
10 | ISISTAN | 34785 | 1% | 15% | 21 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | USER MODELING AND USER-ADAPTED INTERACTION | 160124 | 2% | 23% | 62 |
2 | EXPERT SYSTEMS WITH APPLICATIONS | 56491 | 8% | 2% | 231 |
3 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY | 50053 | 2% | 11% | 41 |
4 | KNOWLEDGE-BASED SYSTEMS | 37240 | 4% | 3% | 96 |
5 | ACM TRANSACTIONS ON INFORMATION SYSTEMS | 20864 | 1% | 6% | 31 |
6 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 18311 | 6% | 1% | 165 |
7 | JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | 12625 | 1% | 4% | 26 |
8 | IEEE INTELLIGENT SYSTEMS | 10686 | 1% | 4% | 26 |
9 | DECISION SUPPORT SYSTEMS | 10650 | 2% | 2% | 50 |
10 | AI COMMUNICATIONS | 10434 | 1% | 4% | 22 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | RECOMMENDER SYSTEMS | 6228785 | 28% | 74% | 755 | Search RECOMMENDER+SYSTEMS | Search RECOMMENDER+SYSTEMS |
2 | COLLABORATIVE FILTERING | 4524674 | 20% | 73% | 552 | Search COLLABORATIVE+FILTERING | Search COLLABORATIVE+FILTERING |
3 | RECOMMENDATION SYSTEM | 672646 | 4% | 50% | 121 | Search RECOMMENDATION+SYSTEM | Search RECOMMENDATION+SYSTEM |
4 | CONTENT BASED FILTERING | 374229 | 2% | 76% | 44 | Search CONTENT+BASED+FILTERING | Search CONTENT+BASED+FILTERING |
5 | PERSONALIZATION | 365773 | 6% | 20% | 161 | Search PERSONALIZATION | Search PERSONALIZATION |
6 | PERSONALIZED RECOMMENDATION | 299160 | 1% | 68% | 39 | Search PERSONALIZED+RECOMMENDATION | Search PERSONALIZED+RECOMMENDATION |
7 | FOLKSONOMY | 297931 | 2% | 44% | 61 | Search FOLKSONOMY | Search FOLKSONOMY |
8 | INFORMATION FILTERING | 240461 | 2% | 34% | 63 | Search INFORMATION+FILTERING | Search INFORMATION+FILTERING |
9 | SOCIAL TAGGING | 213129 | 1% | 49% | 39 | Search SOCIAL+TAGGING | Search SOCIAL+TAGGING |
10 | SPARSITY PROBLEM | 179393 | 1% | 100% | 16 | Search SPARSITY+PROBLEM | Search SPARSITY+PROBLEM |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | BOBADILLA, J , ORTEGA, F , HERNANDO, A , GUTIERREZ, A , (2013) RECOMMENDER SYSTEMS SURVEY.KNOWLEDGE-BASED SYSTEMS. VOL. 46. ISSUE . P. 109 -132 | 96 | 90% | 286 |
2 | PARK, DH , KIM, HK , CHOI, IY , KIM, JK , (2012) A LITERATURE REVIEW AND CLASSIFICATION OF RECOMMENDER SYSTEMS RESEARCH.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 39. ISSUE 11. P. 10059 -10072 | 122 | 77% | 93 |
3 | LU, J , WU, DS , MAO, MS , WANG, W , ZHANG, GQ , (2015) RECOMMENDER SYSTEM APPLICATION DEVELOPMENTS: A SURVEY.DECISION SUPPORT SYSTEMS. VOL. 74. ISSUE . P. 12 -32 | 84 | 83% | 41 |
4 | LU, LY , MEDO, M , YEUNG, CH , ZHANG, YC , ZHANG, ZK , ZHOU, T , (2012) RECOMMENDER SYSTEMS.PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS. VOL. 519. ISSUE 1. P. 1 -49 | 75 | 45% | 163 |
5 | CHOI, K , YOO, D , KIM, G , SUH, Y , (2012) A HYBRID ONLINE-PRODUCT RECOMMENDATION SYSTEM: COMBINING IMPLICIT RATING-BASED COLLABORATIVE FILTERING AND SEQUENTIAL PATTERN ANALYSIS.ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS. VOL. 11. ISSUE 4. P. 309 -317 | 39 | 95% | 28 |
6 | CHOI, K , SUH, Y , (2013) A NEW SIMILARITY FUNCTION FOR SELECTING NEIGHBORS FOR EACH TARGET ITEM IN COLLABORATIVE FILTERING.KNOWLEDGE-BASED SYSTEMS. VOL. 37. ISSUE . P. 146-153 | 33 | 100% | 35 |
7 | ADOMAVICIUS, G , TUZHILIN, A , (2005) TOWARD THE NEXT GENERATION OF RECOMMENDER SYSTEMS: A SURVEY OF THE STATE-OF-THE-ART AND POSSIBLE EXTENSIONS.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. VOL. 17. ISSUE 6. P. 734 -749 | 23 | 70% | 2152 |
8 | SHI, Y , LARSON, M , HANJALIC, A , (2014) COLLABORATIVE FILTERING BEYOND THE USER-ITEM MATRIX: A SURVEY OF THE STATE OF THE ART AND FUTURE CHALLENGES.ACM COMPUTING SURVEYS. VOL. 47. ISSUE 1. P. - | 38 | 72% | 44 |
9 | NAJAFABADI, MK , MAHRIN, MN , CHUPRAT, S , SARKAN, HM , (2017) IMPROVING THE ACCURACY OF COLLABORATIVE FILTERING RECOMMENDATIONS USING CLUSTERING AND ASSOCIATION RULES MINING ON IMPLICIT DATA.COMPUTERS IN HUMAN BEHAVIOR. VOL. 67. ISSUE . P. 113 -128 | 39 | 89% | 0 |
10 | MORADI, P , AHMADIAN, S , (2015) A RELIABILITY-BASED RECOMMENDATION METHOD TO IMPROVE TRUST-AWARE RECOMMENDER SYSTEMS.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 42. ISSUE 21. P. 7386 -7398 | 35 | 90% | 4 |
Classes with closest relation at Level 1 |