[PDF] Top 20 A Recommendation Technique Based on the Social Networks and Sequential Behaviors
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A Recommendation Technique Based on the Social Networks and Sequential Behaviors
... make recommendation such as collaborative filtering and memory based method, it doesn’t perform well when recommend items which can cover the interest of ...(CF) based, Content based and ... See full document
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Collaborative Filtering Based Product Recommendation System for Online Social Networks
... of social networking websites has been increased due to frequent uses of these sites by ...people. Social Networks play important role in the product’s recommendation because nowadays peoples ... See full document
6
Deep Learning based Trust Aware Recommender for Social Networks
... new recommendation technique for the trust aware recommendation in social networks based on the Deep Learning ...algorithm based on trust relations in social ... See full document
7
Exploiting Social Information in Pairwise Preference Recommender System
... factorization technique to map users in terms of their trust relationship, aiming to reflect reciprocal users’ influence on their own opinions [Yang et ...of Social PrefRec is to exploit social ... See full document
17
Friend and POI recommendation based on social trust cluster in location based social networks
... mendation technique, Zhang and Xu [15] used the co- rating-based similarity measurement for predicting rat- ings of unknown ...locations. Social influence can also be used for POI ...probabilistic ... See full document
12
An Improved Social Networks Security Based on Semantic-Based Friend Recommendation
... user based on items the user previously visited, and items that other users are looking ...user based on the user’s previous ratings and watching ...of social networking systems, friend ... See full document
6
Location Prediction Model Using Foursquare Check-In Service: A Machine Learning Approach
... location-based social networks (LBSNs), spatial item recommendation has become an important way of helping users discover interesting locations to increase their engagement with ... See full document
10
Linking E Commerce to Social Networks for Product Recommendation
... factorization technique [3], functional matrix factorization [4], gradient boosting algorithms [5], and so ...user’s social networking profile or have conducted any initial interview process to know about ... See full document
6
Friend book: A Scalable and Efficient Friend Recommendation Using Integrated Feedback Approach
... friend recommendation system for social networks, based on their life styles instead of social graphs which recommends friends to ...of recommendation techniques developed till ... See full document
5
A Survey on a Semantic-based Friend Recommendation Systems for Social Networks
... user based on items the user previously visited, and items that other users are ...user based on the user’s previous ratings andwatching ...of social networking systems, friend recommendation ... See full document
5
MIRS: A MAPREDUCE-BASED ITINERARY RECOMMENDATION SYSTEM IN LOCATION-BASED SOCIAL NETWORKS
... proposed recommendation system using hybrid technique is experimentally compared with the systems which are based on collaboration filtering technique and content based ...the ... See full document
20
Aspect and Review Based Recommendation System
... dictionary based approach to fetch only the relevant ...dictionary based approach extracts aspects only based on the dictionary, it covers almost all the relevant aspects, but there is a certain ... See full document
9
Keyword Aware Representative Travel Route Recommendation with Places of Interest
... Location-based social network (LBSN) services allow users to perform check-in and share their check-in data with their ...location based social ...route recommendation system ... See full document
8
A social trust and preference segmentation based matrix factorization recommendation algorithm
... a social recom- mendation model that integrated trust relationships and product popularity and speculated on their potential in- teractions based on user interaction ...factorization technique for ... See full document
12
A Novel Friend Recommendation System in Social Networks using Semantic-based
... The impact ranking designates a user’s capability to establish comities in the network. Once the ranking of a utilizer is obtained, it provides guidelines to those who receive the recommendation list on how to ... See full document
8
iCTRE: The Informal community Transformer into Recommendation Engine
... © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 923 that links the two, but they often focus on a single, specific app, such as movies to watch or music to listen to. In this paper, we ... See full document
11
The causal mechanism of migration behaviors of African immigrants in Guangzhou: from the perspective of cumulative causation theory
... and social environment (Grubel and Scott ...and behaviors not to absolute income gaps between countries, but rather to the relative deprivation that actors realizes when comparing themselves to reference ... See full document
25
A Study on Personalized Travel Sequence Recommendation on Multi-Source Social Media
... traveling recommendation is important for users who plan for ...sequence recommendation system using travelogues and users contributed photos with metadata of this photo by comparing existing different ... See full document
8
Evaluation of Recommendation System for Sustainable E-Commerce: Accuracy, Diversity and Customer Satisfaction
... in recommendation systems, we developed a Deep Neural Network-based recommendation system and identified factors that could affect the level of customer ...Network-based recommendation ... See full document
13
Survey on Friend Recommendation Methods for Online Social Networks
... friend recommendation system. Because in such system, for recommendation, users personal information is utilized, like users friend list, name, email id ...friend recommendation becomes essential ... See full document
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