Open Access
A Review on Resemblance of User Profiles in Social Networks using Similarity Measures
Nidhi Goyal,Jaswinder Singh +1 more
- Vol. 22, Iss: 1, pp 1-8
Reads0
Chats0
TLDR
The discussion of the past studies is done and how the research is proposing a framework for finding the resemblance is being discussed, which can help recruiter’s to select the best candidates for the Job Profile.Abstract:
Online Social Networking is increasing at a fast rate. There are lots of profiles of the users and there is too much resemblance between the user profiles which can help recruiter’s to select the best candidates for the Job Profile. Now, each similarity measure has its own applicability and best suited to a particular type of attribute values and if these measures are collectively combined then it can help us to find the best resemblance among the user profile ,the result of which matches to the actual result. In this paper, the discussion of the past studies is done and how our research is proposing a framework for finding the resemblance is being discussed.read more
Citations
More filters
Journal ArticleDOI
Short text similarity measurement methods: a review
TL;DR: A comprehensive literature review of short text similarity measurement methods can be found in this article, where the authors identified four semantic knowledge and eight corpus resources as external resources that can be classified into general-purpose and domain-specific.
Proceedings ArticleDOI
Finite Automata for Fake Profile Identification in Online Social Networks
TL;DR: A finite automata-based fake profile identifier is proposed to curb fake profiles and to solve security issues and is compared with the other general validation methods and found that the proposed model gives better results than the existing models.
Proceedings ArticleDOI
Flat and hierarchical user profile clustering in an e-commerce recommender system
TL;DR: This work proposes a comparison between hierarchical and flat user profile clustering based on a case study and implements the proposed approach basing on a dataset of user profiles in an e-commerce context.
References
More filters
Journal ArticleDOI
A Survey of Text Similarity Approaches
Wael Hassan Gomaa,Aly A. Fahmy +1 more
TL;DR: This survey discusses the existing works on text similarity through partitioning them into three approaches; String-based, Corpus-based and Knowledge-based similarities, and samples of combination between these similarities are presented.
Proceedings ArticleDOI
Evaluating similarity measures: a large-scale study in the orkut social network
TL;DR: An extensive empirical comparison of six distinct measures of similarity for recommending online communities to members of the Orkut social network is presented, determining the usefulness of the different recommendations by actually measuring users' propensity to visit and join recommended communities.
Proceedings ArticleDOI
Studying User Footprints in Different Online Social Networks
TL;DR: This paper presents the analysis and results from applying automated classifiers for disambiguating profiles belonging to the same user from different social networks, and finds User ID and Name were found to be the most discriminative features for dis Ambiguating user profiles.
Journal ArticleDOI
A Web Search Engine-Based Approach to Measure Semantic Similarity between Words
TL;DR: This work proposes an empirical method to estimate semantic similarity using page counts and text snippets retrieved from a web search engine for two words, and proposes a novel pattern extraction algorithm and a pattern clustering algorithm that significantly improves the accuracy in a community mining task.
Proceedings ArticleDOI
User Profile Matching in Social Networks
TL;DR: This work addresses the problem of matching user profiles in its globality by providing a suitable matching framework able to consider all the profile’s attributes and allows users to give more importance to some attributes and assign each attribute a different similarity measure.