NDLI: An enhanced personal photo recommendation system by fusing contextual and textual features on mobile device

Content Provider	IEEE Xplore Digital Library
Author	Ye Tian Wendong Wang Xiangyang Gong Xirong Que Jian Ma
Copyright Year	1975
Abstract	As a main means to record scene in personal daily life, personal photos convey high-level semantic information (e.g., who, what, when, where) of an activity user engaged in. Different from other information retrieval tasks, personal photo recommendation depends on the measure of activity relevancy which is implicitly embedded in photos. Spurred by this observation, an enhanced recommendation approach by fusing both contextual and textual features is proposed. First, contextual relevancy is incrementally refined with an enhanced temporal and spatial clustering method respectively. Second, textual similarity of photo annotations is calculated using WordNet to augment the activity relevancy. Third, a fuzzy decision based multi-criteria ranking algorithm i.e., Preference Ranking Organization Method of Enrichment Evaluation (PROMETHEE) is adopted to make recommendations when giving an entry photo. A prototype has been developed on mobile device to illustrate this concept. Experiment results on a real dataset which contains 10,827 photos collected from 50 volunteers during 12 months demonstrate that our approach is more accurate than traditional schemes.
Sponsorship	IEEE Consumer Electronics Society
Starting Page	220
Ending Page	228
Page Count	9
File Size	537499
File Format	PDF
ISSN	00983063
Volume Number	59
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Clustering algorithms Mobile handsets Context Educational institutions Indexes Laboratories Activity Relevancy Textual Recommendation Fuzzy Decision
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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