000 03900nam a2200493 a 4500
005 20260818085534.0
008 200702s2017 th a r m 000 0 eng d
035 _a.b12345829
099 9 _aAIT Diss no.IM-17-01
100 0 _aSupapron Tantanasiriwong
245 1 0 _aCross-domain citation recommendation base on topic model and co-citation selection
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2016
300 _a70 leaves :
_bill.
490 1 _aDissertation ;
_vno. IM-17-01
500 _aA dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Management
502 _aThesis (Ph.D.) - Asian Institute of Technology, 2016
520 _aFinding publications for citation is a crucial task in the research community. Experienced researchers may indeed find it easy to determine relevant papers from a single source domain such as a publication database. However, the task is significantly more challenging when considering publications across different domain sources. In this dissertation, we propose a Cross-Domain Recommender System as a solution to the task. Our recommender system implements an algorithm which is a hybridization of two distinct approaches {u2013} the Topic Model and Co-Citation Selection approaches. Briefly, relevant terms from documents are first clustered into similar topics. The Co-Citation Selection technique then helps select citations based on a set of highly similar documents. To evaluate the performance, various comparison techniques are introduced to the CrossDomain Citation Recommendations (CDCR). We focus on the context of patent and publication as a primary and secondary domain, respectively. The outcome of our proposed cross-domain citation framework is confirmed through benchmarking with traditional baseline approaches using a corpus of patents collected from different technological fields, e.g., biotechnology, environmental technology, medical technology, and nanotechnology. Experimental results show that our hybrid algorithm approach yields better performance in predicting relevant publication citations than the known baseline approaches
650 0 _aKnowledge management
650 0 _aInformation and retrieval systems
650 0 _aDatabase management
700 1 _aGuha, Sumanta,
_eChairperson
700 1 _aJanecek, Paul,
_eExamination Committee
700 0 _aChoochart Haruechaiyasak,
_eExamination committee
700 1 _aShyu, Mei-Ling,
_eExamination committee
710 2 _aMinistry of Science and Technology National Science and Technology Development Agency (NSTDA), Thailand,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tDissertation ;
_vno. IM-17-01
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B06999
907 _a.b12345829
_bmnait
_cm
902 _a240419
998 _b0
_c200702
_dm
_ea
_fm
_g0
962 _a000:001:PDF:b1234582:004595:0:0:0:0:0:0
_tClick to view Abstract
_vn
945 _lmnait
945 _lmnait
945 _lmnarc
945 _lmnarc
942 _c40
942 _c61
942 _c20
909 _aBarcode : 30050120890966
_bCREATED : 2020-06-22
_cRECORD # : i13276487
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
909 _aBarcode : -
_bCREATED : 2020-06-22
_cRECORD # : i13276505
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
909 _aBarcode : 30050120983282
_bCREATED : 2020-09-07
_cRECORD # : i13280557
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
909 _aBarcode : 30050120983274
_bCREATED : 2020-09-07
_cRECORD # : i13280569
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
999 _c24752
_d24752