Exploiting Consumptive Behavior Based Data Mining of Mobile Environment

Dr. Jayeshkumar Madhubhai Patel
2019 Figshare  
Data mining is also called knowledge discovery in several database including mobile databases. In this paper, the consumptive behaviour based on data mining technology will be discussed and analyzed. Mobile search is becoming increasingly important for mobile users as mobile devices are more widely used. Mobile search is quite different from standard PC-based web search in a number of ways: (a) the user interfaces and I/O are limited by screen real estate; (b) key pads are tiny and inconvenient
more » ... for use, (c) limited bandwidth and (d) costly connection fees. These limitationsresult in more navigational queries in the mobile search. Furthermore, user location, activities, preferences, and interaction history can also improve accuracy in determining relevance for mobile search. In the past, most personalized search algorithms are studied in the context of PC-based web search. Personalized mobile search should however play a bigger role at improving the user experiences. This paper focuses on the personalization strategies which explicitly and implicitly infer user search context at individual user level. We show that personalized mobile search perform well for ambiguous queries and localized searches. In this paper, a data mining method for generating mobile clients' location-aware service rules are used and we use a data mining algorithm which involves mining for location-based services.
doi:10.6084/m9.figshare.7824932 fatcat:wvdw6hcvbzdizjpf7vdn5rurua