Improvement of recommender systems considering big data of users’ comments on chosen items

Abstract

Regarding to the increase in the online social networks services during the recent years, the recommender system has turned into an emerging research subject. Currently, regarding to the fast and consistent expansion of using the internet, the necessity of a recommender system for refining the large volume of data has increased greatly. The purpose of recommender systems is to provide a list of the interested items for the user and due to the increase in the current data volume, the previous used tools are nor suitable for processing this data volume; hence, having a system which can save and process the large data has turned into a problem. In this study, to solve the mentioned problems, a system is recommended using a model-based collaborative filtering refinement model which uses the Spark processing model in Hadoop context in order for more exact advising the user from the viewpoint of the users. The obtained results indicate that the current method will be more efficient and effective compared to the common recommendation methods.

Chemical surface modification of wheat straw fibers for polypropylene reinforcement

“…Pasquini et al developed LDPE/cellulose fibers composites from sugar cane bagasse; the surface chemical structure of the fibers was altered by esterification with octadecanoyl and dodecanoyl chloride acids. Un‐blenched and blenched Kraft cellulose pulp fibers were modified with oleic acid to reinforce LDPE; many researches have been done in the last decade using hybrid composites based on untreated jute, sisal, banana, oil palm, hemp, and flax with glass fibers to reinforce polypropylene . The main purpose of this work was the modification of the cellulose fibers to improve the compatibility with polypropylene.…”

Polypyrrole‐silk electro‐conductive composite fabric byin situchemical polymerization

“…Smooth and continuous coating of PPy is achieved on various silk substrates by in situ oxidative polymerization from an aqueous solution of pyrrole (Py) at room temperature using FeCl 3 as catalyst . Continuous vapor phase polymerization of pyrrole on silk (116/2 tex) and cotton (20 tex) yarns enable production of uniformly coated yarns with electrical conductivity of 3.2 × 10 −4 S/cm for silk and 6.4 × 10 −4 S/cm for cellulose . However, no attempt has been made on process optimization.…”